2D–EM clustering approach for high-dimensional data through folding feature vectors

被引：0
作者：
Alok Sharma
Piotr J. Kamola
Tatsuhiko Tsunoda
机构：
[1] Center for Integrative Medical Sciences,Institute for Integrated and Intelligent Systems
[2] RIKEN Yokohama,Medical Research Institute
[3] CREST,undefined
[4] JST,undefined
[5] Griffith University,undefined
[6] Tokyo Medical and Dental University,undefined
[7] School of Engineering and Physics,undefined
[8] University of the South Pacific,undefined
来源：
BMC Bioinformatics | / 18卷
关键词：
EM algorithm; Feature matrix; Small sample size; Transcriptome; Methylome; Cancer; Phenotype clustering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 212 条
[31]  
Boroevich K(2011)A novel intrusion detection system based on hierarchical clustering and support vector machines Expert Syst Appl 38 306-137
[32]  
Shigemizu D(2014)Document clustering method using dimension reduction and support vector clustering to overcome sparseness Expert Syst Appl 41 3204-45
[33]  
Kamatani Y(2014)Prediction of piRNAs using transposon interaction and a support vector machine BMC Bioinformatics 15 419-1013
[34]  
Kubo M(2001)Support vector clustering J Mach Learn Res 2 125-448
[35]  
Tsunoda T(2015)A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data Artif Intell Rev 44 23-764
[36]  
Sibson R(2015)Splitting methods for convex clustering J Comput Graph Stat 24 994-2213
[37]  
Defays D(2015)An adaptive particle swarm optimization method based on clustering Soft Comput 19 431-2492
[38]  
de Amorim RC(2012)A top-r feature selection algorithm for microarray gene expression data IEEE/ACM Trans Comput Biol Bioinform 9 754-U632
[39]  
Lock EF(2012)A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices Pattern Recogn 45 2205-U1225
[40]  
Dunson DB(2010)Improved direct LDA and its application to DNA microarray gene expression data Pattern Recogn Lett 31 2489-347
12345678910