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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