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A New Clustering Approach, Based On The Estimation Of The Probability Density Function, For Gene Expression Data

机译：一种新的聚类方法，基于概率密度函数的估计，用于基因表达数据

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Noël Bonnet; No Bonnet Tm; Jérôme Cutrona; Michel Herbin; Jrsme Cutrona Tm; Jean-marie Zahm;
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年度 2002
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1. Modified genetic algorithm-based clustering for probability density functions [J] . Tai Vo-Van, Trung Nguyen-Thoi, Trung Vo-Duy, Journal of statistical computation and simulation . 2017,第10a12期

机译：基于改进遗传算法的概率密度函数聚类
2. Multilook polarimetric SAR data probability density function estimation using a generalized form of multivariate K-distribution [J] . Yong Bian, Bryan Mercer Remote sensing letters . 2014,第7a9期

机译：使用多元K分布的广义形式的多视极化SAR数据概率密度函数估计
3. Entropy-based cluster validation and estimation of the number of clusters in gene expression data [J] . Novoselova N., Tom I. Journal of Bioinformatics and Computational Biology . 2012,第5期

机译：基于熵的聚类验证和基因表达数据中聚类数目的估计
4. A Column-Wise Distance-Based Approach for Clustering of Gene Expression Data with Detection of Functionally Inactive Genes and Noise [C] . Girish Chandra, Sudhakar Tripathi International Conference on Computational Intelligence, Communications, and Business Analytics . 2018

机译：基于距离基于距离的基于距离的方法，用于检测功能性无活性基因和噪声的基因表达数据
5. A New Functionally-Enriched Domain-Specific Algorithm for Clustering Gene Expression Data [D] . Sharma, Asuda. 2018

机译：一种新的功能丰富的领域特定算法，用于对基因表达数据进行聚类
6. Robust estimation of the probabilities of 3‐D clusters in functional brain images: Application to PET data [O] . Anders Ledberg 2000

机译：对功能性脑图像中3D簇的概率的可靠估计：在PET数据中的应用
7. ISODATA clustering method with parameter estimation based on Genetic Algorithm: GA taking concaveness of probability density function into account [O] . Kohei ARAI, Xianqiang BU 2008

机译：基于遗传算法的参数估计的ISODATA聚类方法：GA采取概率密度函数的求和考虑

A New Clustering Approach, Based On The Estimation Of The Probability Density Function, For Gene Expression Data

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