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Table 1 Clustering performance of LDA, SVM, MCLUST, K-means, HC, and HDP on the AD400 data

From: Hierarchical Dirichlet process model for gene expression clustering

Algorithm

RI

SI

Number of clusters

LDA

0.931

0.553

10.0

SVM

0.929

0.493

11

MCLUST

0.942

0.583

10

K-means

0.895

0.457

10

HC

0.916

0.348

9

BIMC

0.935

0.571

10.0

HDP

0.947

0.577

10.0