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Advances in data analysis and classification

SCIEI

中文名称：先进的数据分析和分类

ISSN：1862-5347
出版周期：3 times a year

发文量：187

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1.A fingerprint of a heterogeneous data set

机译：异构数据集的指纹
- 作者：Spallanzani Matteo;Mihaylov Gueorgui;Prato MarcoFontana Roberto
- 期刊名称：《Advances in data analysis and classification》 | 2022年第3期
- Bagged data;
- Mixed-type data;
- Mixture distributions;
- Multivariate statistics;
- Machine learning;
- MULTIPLE;
2.Special issue on 'Models and learning for clustering and Classification'

机译：“聚类和分类的模型和学习”特刊
- 作者：Ingrassia Salvatore;Jacques Julien;Yao Weixin
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
3.Minimum adjusted Rand index for two clusterings of a given size

机译：给定大小的两个聚类的最小调整 Rand 指数
- 作者：Chacon Jose E.;Rastrojo Ana I
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Adjusted Rand index;
- External clustering evaluation;
- Minimum agreement;
- PROTEIN LOCALIZATION SITES;
- TRANSFER DISTANCE;
- AGREEMENT;
- ALGORITHM;
- CRITERIA;
- MAXIMIZE;
4.Robust clustering via mixtures of t factor analyzers with incomplete data

机译：通过混合使用数据不完整的 t 因子分析仪进行稳健聚类
- 作者：Wang Wan-Lun;Lin Tsung- I
- 期刊名称：《Advances in data analysis and classification》 | 2022年第3期
5.Model-based clustering and outlier detection with missing data

机译：基于模型的聚类和缺失数据的异常值检测
- 作者：Tong Hung;Tortora Cristina
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
- Model-based clustering;
- Data missing at random;
- Contaminated normal distribution;
- Outliers;
- MAXIMUM-LIKELIHOOD;
- INCOMPLETE DATA;
- EM ALGORITHM;
- MIXTURES;
- VALUES;
- DISTRIBUTIONS;
- ECM;
6.Is there a role for statistics in artificial intelligence?

机译：统计学在人工智能中发挥作用吗？
- 作者：Friedrich Sarah;Antes Gerd;Behr SigridBinder HaraldBrannath WernerDumpert FlorianIckstadt KatjaKestler Hans A.Lederer JohannesLeitgob HeinzPauly MarkusSteland AnsgarWilhelm AdalbertFriede Tim
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
- Statistics;
- Artificial intelligence;
- Machine learning;
- Data science;
- BIG DATA;
- CAUSAL INFERENCE;
- NEURAL-NETWORKS;
- LEARNING ALGORITHM;
- DESIGN;
- MODELS;
- SELECTION;
- VALIDITY;
- SCIENCE;
- DROPOUT;
7.Robust optimal classification trees under noisy labels

机译：嘈杂标签下的鲁棒最佳分类树
- 作者：Blanco Victor;Japon Alberto;Puerto Justo
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
8.Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database

机译：基于多变量混合型纵向数据的分类及其在EU-SILC数据库中的应用
- 作者：Vávra Jan;Komárek Arnošt
- 期刊名称：《Advances in data analysis and classification》 | 2023年第2期
- Multivariate longitudinal data;
- Mixed type outcome;
- Model based clustering;
- Classification;
- EU-SILC;
- 62F15;
- 62H30;
- 62J05;
- 62J12;
9.Least-squares bilinear clustering of three-way data

机译：三向数据的最小二乘双线性聚类
- 作者：Schoonees Pieter C.;Groenen Patrick J. F.;van de Velden Michel
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
- Three-way data;
- Bilinear decomposition;
- k-Means cluster analysis;
- Least-squares estimation;
- Biplots;
- COMPONENT ANALYSIS;
- RESPONSE STYLES;
- MIXTURE MODEL;
- NUMBER;
- APPROXIMATION;
- MATRICES;
10.Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study

机译：新型聚类算法的过度乐观评估与报告：一项说明性研究
- 作者：Ullmann Theresa;Beer Anna;Hunemorder MaximilianSeidl ThomasBoulesteix Anne-Laure
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Over-optimism;
- Clustering;
- Cluster analysis;
- Evaluation;
- ROBUST;
- BIAS;
11.Prediction of brand stories spreading on social networks

机译：预测在社交网络上传播的品牌故事
- 作者：Thi Bich Ngoc Hoang;Mothe Josiane
- 期刊名称：《Advances in data analysis and classification》 | 2022年第3期
- Information retrieval;
- Information diffusion;
- Social media;
- Tweets analysis;
- Predictive model;
- Using machine learning;
- Online marketing;
- INFORMATION DIFFUSION;
- PROMOTION;
- TWITTER;
- MEDIA;
12.Optimal projections for Gaussian discriminants

机译：高斯判别式的最优投影
- 作者：Hofmeyr David P.;Kamper Francois;Melonas Michail C.
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Classification;
- Discriminant analysis;
- Dimension Reduction;
- Feature extraction;
- Projection pursuit;
- REGRESSION;
13.Localization processes for functional data analysis

机译：功能数据分析的本地化流程
- 作者：Elías Antonio;Jiménez Raúl;Yukich J. E.
- 期刊名称：《Advances in data analysis and classification》 | 2023年第2期
- Nearest neighbors;
- Incomplete observations;
- Outlier detection;
- 62R10;
- 60F05;
14.Editorial for ADAC issue 1 of volume 17 (2023)

机译：ADAC 第 17 卷第 1 期（2023 年）社论
- 作者：Vichi Maurizio;Cerioli Andrea;Kestler Hans A.Okada AkinoriWeihs Claus
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
15.Nonparametric regression and classification with functional, categorical, and mixed covariates

机译：使用函数、分类和混合协变量进行非参数回归和分类
- 作者：Selk Leonie;Gertheiss Jan
- 期刊名称：《Advances in data analysis and classification》 | 2023年第2期
- Classification;
- Nonparametric regression;
- Multivariate functional predictors;
- Multivariate categorical predictors;
- Multi-class response;
- Variable selection;
- 62G08;
- 62H12;
- 62H30;
- 62P15;
16.Poisson degree corrected dynamic stochastic block model

机译：泊松度校正动态随机块模型
- 作者：Riverain Paul;Fossier Simon;Nadif Mohamed
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Stochastic block model;
- Dynamic graph clustering;
- Expectation maximization;
- Degree correction;
- MIXTURE MODEL;
- BLOCKMODELS;
- ALGORITHM;
- EXTENSION;
- NETWORKS;
- GRAPHS;
- SPARSE;
17.Quantile composite-based path modeling: algorithms, properties and applications

机译：基于分位数复合的路径建模：算法、属性和应用
- 作者：Dolce Pasquale;Davino Cristina;Vistocco Domenico
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
- Composite-based path modeling;
- OLS regression;
- Quantile regression;
- OF-FIT;
- HETEROGENEITY;
18.Principal component analysis constrained by layered simple structures (May, 10.1007/s11634-022-00503-9, 2022)

机译：受分层简单结构约束的主成分分析（2022 年 5 月 10.1007/s11634-022-00503-9）
- 作者：Yamashita Naoto
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
19.Kurtosis removal for data pre-processing

机译：去除峰度，用于数据预处理
- 作者：Loperfido Nicola
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Closed skew-normal;
- Finite mixture;
- Gaussianization;
- High-dimensional;
- Kurtosis;
- Projection pursuit;
- PROJECTION PURSUIT;
- OUTLIER DETECTION;
- MULTIVARIATE SKEWNESS;
- RANDOM VECTORS;
- MATRIX;
- TRANSFORMATIONS;
- DISTRIBUTIONS;
- DIRECTIONS;
- NORMALITY;
- MOMENTS;
20.Model-based clustering for random hypergraphs

机译：基于模型的随机超图聚类
- 作者：Ng Tin Lok James;Murphy Thomas Brendan
- 期刊名称：《Advances in data analysis and classification》 | 2022年第3期
- Clustering;
- Hypergraph;
- Latent class analysis;
- Minorization maximization;
- COLLABORATION NETWORK;
- AFFILIATION NETWORKS;
- MAXIMUM-LIKELIHOOD;
- PHASE-TRANSITION;
- 2-MODE;
21.The minimum weighted covariance determinant estimator for high-dimensional data

机译：高维数据的最小加权协方差行列式估计器
- 作者：Kalina Jan;Tichavsky Jan
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
- High-dimensional data;
- Regularization;
- Robust estimation;
- Implicit weighting;
- Scatter matrix;
- ROBUST ESTIMATION;
- OUTLIER DETECTION;
- SQUARES;
- ALGORITHM;
- LOCATION;
22.Assessing similarities between spatial point patterns with a Siamese neural network discriminant model

机译：使用连体神经网络判别模型评估空间点模式之间的相似性
- 作者：Jalilian Abdollah;Mateu Jorge
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- Classification;
- Deep learning;
- Dissimilarity;
- Inhomogeneity;
- Interactions;
- Spatial point processes;
- CLASSIFICATION;
- DISSIMILARITY;
23.An empirical comparison and characterisation of nine popular clustering methods

机译：九种常用聚类方法的实证比较和表征
- 作者：Hennig Christian
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
24.Editorial for ADAC issue 2 of volume 17 (2023)

机译：ADAC 第 17 卷第 2 期（2023 年）社论
- 作者：Vichi Maurizio;Cerioli Andrea;Kestler Hans A.Okada AkinoriWeihs Claus
- 期刊名称：《Advances in data analysis and classification》 | 2023年第2期
25.Independence versus indetermination: basis of two canonical clustering criteria

机译：独立性与不确定性：两个典型聚类标准的基础
- 作者：Bertrand Pierre;Broniatowski Michel;Marcotorchino Jean-Francois
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
26.Multivariate cluster weighted models using skewed distributions

机译：使用偏态分布的多元聚类加权模型
- 作者：Gallaugher Michael P. B.;Tomarchio Salvatore D.;McNicholas Paul D.Punzo Antonio
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
- Mixture models;
- Cluster weighted models;
- Skewed distributions;
- Clustering;
- MAXIMUM-LIKELIHOOD;
- DISCRIMINANT-ANALYSIS;
- FINITE MIXTURE;
- EM ALGORITHM;
- CLASSIFICATION;
- DIMENSION;
27.Gaussian mixture model with an extended ultrametric covariance structure

机译：具有扩展超度量协方差结构的高斯混合模型
- 作者：Cavicchia Carlo;Vichi Maurizio;Zaccaria Giorgia
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
28.A new three-step method for using inverse propensity weighting with latent class analysis

机译：一种新的使用逆倾向加权和潜在类分析的三步法
- 作者：Clouth F. J.;Pauws S.;Mols F.Vermunt J. K.
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
29.How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action

机译：Galaxy数据集中有多少个数据集群？贝叶斯聚类分析的实际应用
- 作者：Gruen Bettina;Malsiner-Walli Gertraud;Fruhwirth-Schnatter Sylvia
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
- Bayes;
- Cluster analysis;
- Galaxy data set;
- Mixture model;
- Prior specification;
- DENSITY-ESTIMATION;
- MAXIMUM-LIKELIHOOD;
- NUMBER;
- COMPONENTS;
- MIXTURES;
30.Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets

机译：混合深度高斯混合模型：混合数据集的聚类模型
- 作者：Fuchs Robin;Pommeret Denys;Viroli Cinzia
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
31.Editorial for ADAC issue 1 of volume 16 (2022)

机译：ADAC 第 16 卷第 1 期（2022 年）社论
- 作者：Ingrassia Salvatore;Jacques Julien;Yao Weixin
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
32.Sparse dimension reduction based on energy and ball statistics

机译：基于能量和球统计的稀疏降维
- 作者：Menvouta Emmanuel Jordy;Serneels Sven;Verdonck Tim
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
33.Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning

机译：使用基于模型的递归分区的单个参与者数据荟萃分析中的亚组识别
- 作者：Huber Cynthia;Benda Norbert;Friede Tim
- 期刊名称：《Advances in data analysis and classification》 | 2022年第3期
34.Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models

机译：基于模型的有序多级潜在马尔可夫模型中二级单元的双向聚类
- 作者：Montanari Giorgio Eduardo;Doretti Marco;Marino Maria Francesca
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
- Latent Markov model;
- Multilevel modeling;
- Nursing home;
- Random effect separation;
- MAXIMUM-LIKELIHOOD;
- LONGITUDINAL DATA;
- RESPONSE SHIFT;
- RELIABILITY;
- PERFORMANCE;
- MATRIX;
- STATES;
35.Unobserved classes and extra variables in high-dimensional discriminant analysis

机译：高维判别分析中未观察到的类和额外变量
- 作者：Fop Michael;Mattei Pierre-Alexandre;Bouveyron CharlesMurphy Thomas Brendan
- 期刊名称：《Advances in data analysis and classification》 | 2022年第1期
36.Robust mixture regression modeling based on two-piece scale mixtures of normal distributions

机译：基于正态分布两段尺度混合的鲁棒混合回归建模
- 作者：Zarei Atefeh;Khodadadi Zahra;Maleki MohsenZare Karim
- 期刊名称：《Advances in data analysis and classification》 | 2023年第1期
- ECME algorithm;
- Mixture regression models;
- Penalized likelihood;
- Two-piece scale mixtures of normal distributions;
- MAXIMUM-LIKELIHOOD;
- GENERAL-CLASS;
- INFERENCE;
- ALGORITHM;
- SELECTION;
- ECM;
- EM;
37.Editorial for ADAC issue 4 of volume 16 (2022)

机译：ADAC第16卷第4期（2022年）社论
- 作者：Vichi Maurizio;Ceroli Andrea;Kestler Hans A.Okada AkinoriWeihs Claus
- 期刊名称：《Advances in data analysis and classification》 | 2022年第4期
38.Mixed-effect models with trees

机译：具有树的混合效应模型
- 作者：Gottard Anna;Vannucci Giulia;Grilli LeonardoRampichini Carla
- 期刊名称：《Advances in data analysis and classification》 | 2023年第2期
- Multilevel data;
- Interaction effects;
- Recursive partitioning;
- Regression trunk models;
- 62J99;
- 62J05;
- 62G08;
39.A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error

机译：具有时变测量误差的纵向数据的广义线性模型的两步估计器
- 作者：Di Mari Roberto;Maruotti Antonello
- 期刊名称：《Advances in data analysis and classification》 | 2022年第2期
40.NMF versus ICA for blind source separation

机译：NMF 与 ICA 的盲源分离
- 作者：Mirzal Andri
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Blind source separation;
- Independent component analysis;
- Nonnegative matrix factorization;
41.On visual distances for spectrum-type functional data

机译：关于光谱型功能数据的可视距离
- 作者：Cholaquidis A.;Cuevas A.;Fraiman R.
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Supervised classification;
- Functional data analysis;
- Hausdorff metric;
42.Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis

机译：信用评分的进展：将性能与解释结合在核判别分析中
- 作者：Liberati Caterina;Camillo Furio;Saporta Gilbert
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Credit scoring;
- Kernel discriminant analysis;
- DISQUAL;
- Small and medium enterprises;
43.Minimum Class Variance SVM plus for data classification

机译：用于数据分类的最小类方差 SVM plus
- 作者：Zhu Wenxin;Zhong Ping
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Support vector machine;
- SVM;
- Group information;
- Class variance;
44.A uniform framework for the combination of penalties in generalized structured models

机译：在广义结构化模型中结合处罚的统一框架
- 作者：Oelker Margret-Ruth;Tutz Gerhard
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Model selection;
- Penalties;
- Generalized linear model (GLM);
- Structured regression;
- Ridge;
- Lasso;
- Group Lasso;
- SCAD;
- Elastic net;
- Fused Lasso;
45.A generalized maximum entropy estimator to simple linear measurement error model with a composite indicator

机译：一种广义最大熵估计器到具有复合指标的简单线性测量误差模型
- 作者：Carpita Maurizio;Ciavolino Enrico
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
46.Dichotomic lattices and local discretization for Galois lattices

机译：伽罗瓦晶格的二分晶格和局部离散化
- 作者：Girard Nathalie;Bertet Karell;Visani Muriel
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Discretization;
- Galois lattices;
- Decision trees;
- Classification;
47.Supervised box clustering

机译：监督框聚类
- 作者：Spinelli Vincenzo
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Supervised clustering;
- Classification problems;
- Incompatibility graphs;
- Homogeneous boxes;
48.Evaluation of the evolution of relationships between topics over time

机译：评估主题之间关系随时间的演变
- 作者：Gaul Wolfgang;Vincent Dominique
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Topic relationships;
- Topic trend detection;
- Text processing;
- Content-(dis)similarity;
- Information clustering;
49.Multiple straight-line fitting using a Bayes factor

机译：使用贝叶斯因子的多条直线拟合
- 作者：Lara-Alvarez Carlos;Romero Leonardo;Gomez Cuauhtemoc
- 期刊名称：《Advances in data analysis and classification》 | 2017年第1期
- Multiple lines fitting;
- Line maps;
- Line features;
- Robot sensing;
50.Sparse principal component regression via singular value decomposition approach

机译：基于奇异值分解方法的稀疏主成分回归
- 作者：Kawano Shuichi
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- ADMM;
- Lasso;
- One-stage procedure;
- Singular value decomposition;
- Principal component analysis;
51.Sparse group fused lasso for model segmentation: a hybrid approach

机译：用于模型分割的稀疏群融合套索：一种混合方法
- 作者：Degras David
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- Multivariate time series;
- Model segmentation;
- High-dimensional regression;
- Convex optimization;
- Hybrid algorithm;
52.Functional data clustering by projection into latent generalized hyperbolic subspaces

机译：通过投影到潜在广义双曲子空间进行函数数据聚类
- 作者：Sharp Alex;Browne Ryan
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
53.Better than the best? Answers via model ensemble in density-based clustering

机译：比最好的更好？在基于密度的聚类中通过模型集成进行回答
- 作者：Casa Alessandro;Scrucca Luca;Menardi Giovanna
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- Cluster analysis;
- Model averaging;
- Ensemble learning;
- Density-based clustering;
- Density estimation;
54.A bivariate finite mixture growth model with selection

机译：具有选择的双变量有限混合物增长模型
- 作者：Aristei David;Bacci Silvia;Bartolucci FrancescoPandolfi Silvia
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- Endogeneity;
- Household portfolio choices;
- Latent class model;
- Latent trajectories;
- Longitudinal data;
- Selection model;
55.Robust semiparametric inference for polytomous logistic regression with complex survey design

机译：具有复杂调查设计的多节逻辑回归的鲁棒半参数推理
- 作者：Castilla Elena;Ghosh Abhik;Martin NirianPardo Leandro
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
56.A Riemannian geometric framework for manifold learning of non-Euclidean data

机译：用于非欧几里得数据流形学习的黎曼几何框架
- 作者：Jang Cheongjae;Noh Yung-Kyun;Park Frank Chongwoo
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- Manifold learning;
- Non-Euclidean data;
- Riemannian geometry;
- Distortion;
- Harmonic map;
57.Estimating the class prior for positive and unlabelled data via logistic regression

机译：通过逻辑回归估计正数据和未标记数据的先验类
- 作者：Łazęcka Małgorzata;Mielniczuk Jan;Teisseyre Paweł
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
58.Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings

机译：偏好排名之间的共识：线性和弱排序的新加权相关系数
- 作者：Plaia Antonella;Buscemi Simona;Sciandra Mariangela
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Weighted Rank correlation coefficient;
- Weighted Kemeny distance;
- Position weights;
- Ties;
- 62-08;
- 62G09;
- 62H30;
- 62R07;
- 62P25;
59.Nonlinear dimension reduction for conditional quantiles

机译：条件分位数的非线性降维
- 作者：Christou Eliana;Settle Annabel;Artemiou Andreas
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Classification;
- Dimension reduction;
- Quantile regression;
- Reproducing kernel Hilbert space;
- Visualization;
60.Robust regression with compositional covariates including cellwise outliers

机译：具有组成协变量（包括细胞异常值）的稳健回归
- 作者：Štefelová Nikola;Alfons Andreas;Palarea-Albaladejo JavierFilzmoser PeterHron Karel
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Cellwise outliers;
- Compositional data;
- Logratio coordinates;
- Regression analysis;
- Robust statistics;
- 62J05;
- 62H99;
61.Adaptive sparse group LASSO in quantile regression

机译：分位数回归中的自适应稀疏群LASSO分析
- 作者：Mendez-Civieta Alvaro;Aguilera-Morillo M. Carmen;Lillo Rosa E.
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- High-dimension;
- Penalization;
- Regularization;
- Prediction;
- Weight calculation;
62.PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning

机译：PCA-KL：一种用于无监督度量学习的参数化降维方法
- 作者：Levada Alexandre L. M.
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Dimensionality reduction;
- PCA;
- KL-divergence;
- Unsupervised Metric learning;
- 62H30;
- 94A16;
- 94A17;
- 68T10;
63.Hierarchical clustering with discrete latent variable models and the integrated classification likelihood

机译：基于离散潜在变量模型的分层聚类和集成分类似然
- 作者：Côme Etienne;Jouvin Nicolas;Latouche PierreBouveyron Charles
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Mixture models;
- Block modeling;
- Co-clustering;
- Genetic algorithm;
- Model-based;
64.Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data

机译：Is-ClusterMPP：通过点处理和影响空间的聚类算法，向高维数据移动
- 作者：Henni Khadidja;Louis Pierre-Yves;Vannier BrigitteMousse Ahmed
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
65.A novel dictionary learning method based on total least squares approach with application in high dimensional biological data

机译：一种基于总最小二乘法的字典学习方法，在高维生物数据中的应用
- 作者：Parvasideh Parvaneh;Rezghi Mansoor
- 期刊名称：《Advances in data analysis and classification》 | 2021年第3期
- Dictionary learning;
- Sparse learning;
- Total least squares;
- High dimensional data;
66.Proximal methods for sparse optimal scoring and discriminant analysis

机译：稀疏最优评分和判别分析的近端方法
- 作者：Atkins Summer;Einarsson Gudmundur;Clemmensen LineAmes Brendan
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Sparse discriminant analysis;
- Optimal scoring;
- Proximal gradient method;
- Alternating direction method of multipliers;
- 62H30;
- 62J12;
- 90C26;
67.Logistic biplot for nominal data

机译：名义数据的逻辑双图
- 作者：Cesar Hernandez-Sanchez Julio;Luis Vicente-Villardon Jose
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Biplot;
- Categorical variables;
- Logistic responses;
- Latent traits;
- Computational geometry;
- Inverse Voronoi problem;
68.Mixture models for ordinal responses to account for uncertainty of choice

机译：用于解释选择不确定性的序数响应的混合模型
- 作者：Tutz Gerhard;Schneider Micha;Iannario MariaPiccolo Domenico
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Ordinal responses;
- Rating analysis;
- CUP model;
- CUB model;
69.Enhancing techniques for learning decision trees from imbalanced data

机译：增强从不平衡数据中学习决策树的技术
- 作者：Chaabane Ikram;Guermazi Radhouane;Hammami Mohamed
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
- Asymmetric decision trees;
- Imbalanced data;
- Entropy measures;
- Classification problem;
- Index of balanced accuracy;
70.A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization

机译：一种双正交非负矩阵三因分解的收敛算法
- 作者：Mirzal Andri
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
- Clustering methods;
- Convergent algorithm;
- Nonnegative matrix factorization;
- Orthogonality constraint;
- 65F30;
- 15A23;
71.Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components

机译：使用假设组件内部独立性的半参数混合模型对具有不可忽略缺失性的数据进行聚类
- 作者：du Roy de Chaumaray Marie;Marbac Matthieu
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Clustering;
- Mixture model;
- Non-ignorable missingness;
- Smoothed likelihood;
- 62H30;
72.Model-based regression clustering for high-dimensional data: application to functional data

机译：基于模型的高维数据回归聚类：在函数数据中的应用
- 作者：Devijver Emilie
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Model-based clustering;
- Regression;
- High-dimension;
- Functional data;
73.Familywise decompositions of Pearson's chi-square statistic in the analysis of contingency tables

机译：列联表分析中Pearson卡方统计量的家族分解
- 作者：Lombardo Rosaria;Takane Yoshio;Beh Eric J.
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
74.LASSO regularization within the LocalGLMnet architecture

机译：LocalGLMnet 架构中的 LASSO 正则化
- 作者：Richman Ronald;Wüthrich Mario V.
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Deep learning;
- Neural networks;
- LocalGLMnet;
- Regression model;
- Variable selection;
- Regularization;
- LASSO;
- Group LASSO;
- Ridge regularization;
- Tikhonov regularization;
- 62-07;
- 62H99;
- 62G08;
- 62J07;
- 68T07;
75.Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations

机译：基于题词、图和相关图形表示的功能数据的排名测试
- 作者：Franco Pereira Alba M.;Lillo Rosa E.
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
- Data depth;
- Rank test;
- Epigraph;
- Hypograph;
- Functional data;
- Order statistics;
76.A stable cardinality distance for topological classification

机译：用于拓扑分类的稳定基数距离
- 作者：Maroulas Vasileios;Micucci Cassie Putman;Spannaus Adam
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
- Stability;
- Classification;
- Persistent homology;
- Persistence diagrams;
- Crystal structure of materials;
77.REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction

机译：REMAXINT：一种基于双模聚类的双向交互统计推断方法
- 作者：Ahmed Zaheer;Cassese Alberto;van Breukelen GerardSchepers Jan
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
78.A sequential distance-based approach for imputing missing data: Forward Imputation

机译：一种基于顺序距离的缺失数据插补方法：前向插补
- 作者：Solaro Nadia;Barbiero Alessandro;Manzi GiancarloFerrari Pier Alda
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Iterative PCA;
- Mahalanobis distance;
- MCAR missing data;
- MissForest;
- Nearest-neighbour imputation;
- Skew data;
79.Principal component analysis for histogram-valued data

机译：直方图值数据的主成分分析
- 作者：Le-Rademacher J.;Billard L.
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Principal components;
- Histogram observations;
- Polytopes;
80.A power-controlled reliability assessment for multi-class probabilistic classifiers

机译：多类概率分类器的功率控制可靠性评估
- 作者：Gweon Hyukjun
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Reliability assessment;
- Multi-class classification;
- Expected power;
- Bayesian approach;
- 62F03;
- 62F15;
81.Sparse classification with paired covariates

机译：具有成对协变量的稀疏分类
- 作者：Rauschenberger Armin;Ciocanea-Teodorescu Iuliana;Jonker Marianne A.Menezes Renee X.van de Wiel Mark A.
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
- Prediction;
- Sparsity;
- Lasso regression;
- Paired data;
82.Sparse correspondence analysis for large contingency tables

机译：大型列联表的稀疏对应分析
- 作者：Liu Ruiping;Niang Ndeye;Saporta GilbertWang Huiwen
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Contingency tables;
- High-dimensional data;
- Correspondence analysis;
- Sparsity;
- Textual data;
- Penalized matrix decomposition;
- 62H17;
- 62H25;
83.Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

机译：使用多层神经网络学习多变量形状，实现可解释的时间序列分类
- 作者：Medico Roberto;Ruyssinck Joeri;Deschrijver DirkDhaene Tom
- 期刊名称：《Advances in data analysis and classification》 | 2021年第4期
84.Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model

机译：异质性建模：关于逻辑回归的群体比较问题和异质性选择模型的潜力
- 作者：Tutz Gerhard
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
85.ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions

机译：ADCLUS 和 INDCLUS：分析、实验和元启发式算法扩展
- 作者：France Stephen L.;Chen Wen;Deng Yumin
- 期刊名称：《Advances in data analysis and classification》 | 2017年第2期
- Overlapping clustering;
- Optimization;
- NP-Hard;
86.Determinantal consensus clustering

机译：行列式共识聚类
- 作者：Vicente Serge;Murua-Sazo Alejandro
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Classification;
- Kernel-based validation index;
- Kernel k-means;
- Partitioning about medoids;
- Radial basis function;
- Repulsion;
- Voronoi diagram;
- 62H30;
- 62-08;
87.Monitoring photochemical pollutants based on symbolic interval-valued data analysis

机译：基于符号区间值数据分析的光化学污染物监测
- 作者：Lin Liang-Ching;Guo Meihui;Lee Sangyeol
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
- Control chart;
- Monitoring photochemical pollutants;
- Symbolic principal component analysis;
- Symbolic data analysis;
- 62P30;
- 62H25;
- 62G30;
88.Connecting the multivariate partial least squares with canonical analysis: a path-following approach

机译：将多元偏最小二乘法与规范分析连接起来：一种路径跟踪方法
- 作者：Malec Lukas;Janovsky Vladimir
- 期刊名称：《Advances in data analysis and classification》 | 2020年第3期
89.Robust instance-dependent cost-sensitive classification

机译：可靠的、依赖于实例的、对成本敏感的分类
- 作者：De Vos Simon;Vanderschueren Toon;Verdonck TimVerbeke Wouter
- 期刊名称：《Advances in data analysis and classification》 | 2023年第4期
90.Flexible mixture regression with the generalized hyperbolic distribution

机译：具有广义双曲分布的灵活混合回归
- 作者：Kim Nam-Hwui;Browne Ryan P.
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Finite mixture model;
- Mixture regression;
- Model-based clustering;
- Generalized hyperbolic distribution;
- ROBUST MIXTURE;
- FINITE MIXTURE;
- MODEL;
- COMPONENTS;
91.Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter

机译：具有大量尾部和散射的偏斜数据组的污染转换矩阵混合建模
- 作者：Zhu Xuwen;Melnykov Yana;Kolomoytseva Angelina S.
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Cluster analysis;
- Finite mixture model;
- Matrix-variate distribution;
- Skewness;
- Transformation;
92.Co-clustering contaminated data: a robust model-based approach

机译：对污染数据进行共聚类：一种基于模型的鲁棒方法
- 作者：Fibbi Edoardo;Perrotta Domenico;Torti FrancescaVan Aelst StefanVerdonck Tim
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Co-clustering;
- Robustness;
- Trimming;
- LBM;
- CEM algorithm;
- MAXIMUM-LIKELIHOOD;
- MIXTURE;
93.Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors

机译：线性回归与非参数高斯尺度混合误差的半参数混合
- 作者：Oh Sangkon;Seo Byungtae
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
94.The role of diversity and ensemble learning in credit card fraud detection

机译：多样性和集成学习在信用卡欺诈检测中的作用
- 作者：Paldino Gian Marco;Lebichot Bertrand;Le Borgne Yann-AelSiblini WissamOble FredericBoracchi GiacomoBontempi Gianluca
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Finance;
- Fraud detection;
- Concept drift;
- Ensemble learning;
- Diversity;
- CLASSIFIERS;
- SELECTION;
- DRIFT;
95.Model-based clustering using a new multivariate skew distribution

机译：使用新的多元偏度分布的基于模型的聚类
- 作者：Tomarchio Salvatore D.;Bagnato Luca;Punzo Antonio
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Mixture models;
- Skewed data;
- Model-based clustering;
- Cryptocurrencies;
- MAXIMUM-LIKELIHOOD;
- BAYESIAN-INFERENCE;
- MIXTURE;
96.A between-cluster approach for clustering skew-symmetric data

机译：一种用于对偏对称数据进行聚类的聚类间方法
- 作者：Vicari Donatella;Di Nuzzo Cinzia
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Clustering;
- Skew-symmetric data;
- SVD;
- Asymmetry;
- Dimension reduction;
- 62Hxx Multivariate analysis;
97.Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter

机译：具有大量尾部和散射的偏斜数据组的污染转换矩阵混合建模
- 作者：Zhu Xuwen;Melnykov Yana;Kolomoytseva Angelina S.
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Cluster analysis;
- Finite mixture model;
- Matrix-variate distribution;
- Skewness;
- Transformation;
98.Claims fraud detection with uncertain labels

机译：标签不确定的索赔欺诈检测
- 作者：Vandervorst Felix;Verbeke Wouter;Verdonck Tim
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Insurance claims fraud;
- Soft labels;
- Machine learning;
- Nonlife insurance;
- CLASSIFICATION;
- SYSTEM;
99.Mixture modeling with normalizing flows for spherical density estimation

机译：使用归一化流动进行混合建模，用于球形密度估计
- 作者：Ng Tin Lok James;Zammit-Mangion Andrew
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期
- Spherical density estimation;
- Mixture model;
- Normalizing flows;
- FINITE MIXTURES;
- LIKELIHOOD;
- IDENTIFIABILITY;
- DISTRIBUTIONS;
- INFERENCE;
- COMPONENT;
100.Special issue on 'advances in models and learning for clustering and classification'

机译：关于“聚类和分类的模型和学习进展”的特刊
- 作者：Garcia-Escudero Luis-Angel;Ingrassia Salvatore;Murphy T. Brendan
- 期刊名称：《Advances in data analysis and classification》 | 2024年第1期

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