Skip to main content

Table 2 Comparison of the clustering methods based on popular metrics

From: PFClust: a novel parameter free clustering algorithm

Methods

Rand index

300

450

1500

3000

5000

CATH

Density

Average

Hierarchy

0.883

0.942

0.896

0.920

0.981

0.964

0.928

0.931

Agnes

0.947

0.973

0.836

0.820

0.976

0.906

0.975

0.919

Clara

0.960

0.980

0.952

0.948

0.987

1.000

0.956

0.969

k-means

0.960

0.980

0.958

0.966

0.986

0.738

0.901

0.927

Mix Model

0.960

0.980

0.959

0.911

0.990

1.000

0.977

0.968

PFClust

0.960

1.000

0.958

0.949

0.986

0.996

0.976

0.975

DBSCAN

0.973

0.973

0.930

0.921

0.978

0.977

0.688

0.920

  1. The table summarizes the comparison between PFClust and the other six clustering algorithms based on the Rand Index between the clustering predicted by the method in question and the original gold standard clusters.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us