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

[1] Jain AK(2010)Data clustering: 50 years beyond K-means Pattern Recogn Lett 31 651-666

[2] Mo Q(2013)Pattern discovery and cancer gene identification in integrated cancer genomic data Proc Natl Acad Sci U S A 110 4245-4250

[3] Wang S(2003)Consensus clustering: a Resampling-based method for class discovery and visualization of gene expression microarray data Mach Learn 52 91-118

[4] Seshan VE(2010)ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking Bioinformatics 26 1572-1573

[5] Olshen AB(2016)Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer Nat Genet 48 500-179

[6] Schultz N(1996)Iterative optimization and simplification of hierarchical clusterings J Artif Intell Res 4 147-1217

[7] Sander C(2008)Bayesian and maximum likelihood estimation of hierarchical response time models Psychon Bull Rev 15 1209-122

[8] Powers RS(2017)Hierarchical maximum likelihood clustering approach IEEE Trans Biomed Eng 64 112-34

[9] Ladanyi M(1973)SLINK: an optimally efficient algorithm for the single-link cluster method Comput J (British Computer Society) 16 30-366

[10] Shen R(1977)An efficient algorithm for a complete link method Comput J (British Computer Society) 20 364-62

[1] Jain AK(2010)Data clustering: 50 years beyond K-means Pattern Recogn Lett 31 651-666

[2] Mo Q(2013)Pattern discovery and cancer gene identification in integrated cancer genomic data Proc Natl Acad Sci U S A 110 4245-4250

[3] Wang S(2003)Consensus clustering: a Resampling-based method for class discovery and visualization of gene expression microarray data Mach Learn 52 91-118

[4] Seshan VE(2010)ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking Bioinformatics 26 1572-1573

[5] Olshen AB(2016)Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer Nat Genet 48 500-179

[6] Schultz N(1996)Iterative optimization and simplification of hierarchical clusterings J Artif Intell Res 4 147-1217

[7] Sander C(2008)Bayesian and maximum likelihood estimation of hierarchical response time models Psychon Bull Rev 15 1209-122

[8] Powers RS(2017)Hierarchical maximum likelihood clustering approach IEEE Trans Biomed Eng 64 112-34

[9] Ladanyi M(1973)SLINK: an optimally efficient algorithm for the single-link cluster method Comput J (British Computer Society) 16 30-366

[10] Shen R(1977)An efficient algorithm for a complete link method Comput J (British Computer Society) 20 364-62