Skip to main content

Table 3 Clustering accuracy (%) on MLL dataset

From: Divisive hierarchical maximum likelihood clustering

Methods Dim 2 Dim 3 Dim 4 Dim 5
SLINK 40.3 40.3 43.1 43.1
CLINK 45.8 50.0 54.2 72.2
ALINK 50.0 50.0 50.0 72.2
Wa-LINK 62.5 62.5 62.5 84.7
Wt-LINK 45.8 50.0 43.1 69.4
MLINK 45.8 50.0 43.1 69.4
SLINK (Divisive) 41.7 41.7 43.1 43.1
CLINK (Divisive) 54.2 45.8 56.9 72.2
ALINK (Divisive) 41.7 41.7 43.1 72.2
Dunn’s original (Divisive) 44.4 44.4 45.8 72.2
Dunn’s variant (Divisive) 41.7 41.7 43.1 73.6
Macnaughton-Smith (Divisive) 54.2 48.6 50.0 72.2
Principal Direction (Divisive) 62.5 62.5 62.5 81.9
K-means 56.0 57.0 58.1 61.6
DRAGON 65.3 62.5 68.1 84.7