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Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario

机译：零资源场景下支持DPGMM聚类的无监督线性判别分析

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Heck Michael; Sakti Sakriani; Nakamura Satoshi;
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年度 2016
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1. Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario [J] . Michael Heck, Sakriani Sakti, Satoshi Nakamura Procedia Computer Science . 2016,第1期

机译：零资源场景下支持DPGMM聚类的无监督线性判别分析
2. Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning [J] . Wang Fei, Wang Quan, Nie Feiping, IEEE Transactions on Knowledge and Data Engineering . 2021,第3期

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3. Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, ... [J] . Sarah J. Dixon, Richard G. Brereton Chemometrics and Intelligent Laboratory Systems . 2009,第1期

机译：比较以边界法表示的五个常见分类器的性能：欧氏距质心的距离，线性判别分析，二次判别分析，学习向量量化和支持向量机，...
4. Iterative training of a DPGMM-HMM acoustic unit recognizer in a zero resource scenario [C] . Michael Heck, Sakriani Sakti, Satoshi Nakamura IEEE Workshop on Spoken Language Technology . 2016

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5. A COMPARISON OF SIX MODELS FOR PREDICTING CORPORATE BANKRUPTCY: MULTIPLE LINEAR REGRESSION ANALYSIS, MULTIPLE LINEAR DISCRIMINANT ANALYSIS, STEPWISE REGRESSION ANALYSIS, STEPWISE DISCRIMINANT ANALYSIS, MULTIPLE LINEAR REGRESSION ANALYSIS WITH RIDGE REGRESSION, AND MULTIPLE LINEAR DISCRIMINANT ANALYSIS WITH BIASED MINIMUM CHI-SQUARE RULE [D] . MAPP, JOHNNIE ALBERT. 1981

机译：六种预测公司破产的模型的比较：多个线性回归分析，多个线性判别分析，逐步回归分析，逐步判别分析，多个带岭点回归的线性回归分析，以及多个线性离散
6. Retinal Vessel Diameter Measurement Using Unsupervised Linear Discriminant Analysis [O] . Dinesh K. Kumar, Behzad Aliahmad, Hao Hao 2012

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7. Unsupervised Speaker Clustering in a Linear Discriminant Subspace [O] . Theodoris Giannakopoulos, Sergios Petridis 2013

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Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario

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