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Table 3 Performance comparison of THEME, DPMFS, EDCM, and EM-MN on the 20-Newsgroup collection

From: Thematic clustering of text documents using an EM-based approach

 

THEME

DPMFS

EDCM

EM-MN

News-Different-3

0.847

0.688

0.734

0.867

News-Similar-3

0.103

0.231

0.163

0.081

News-Moderated-6

0.782

0.663

0.531

0.562

  1. THEME, DPMFS, EDCM, and EM-MN are the proposed clustering method, a Dirichlet process mixture model, a Dirichlet compound multinomial model, and an EM-based mixture model, respectively.