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Table 3 The diversity and quality analysis of the three schemes

From: Cluster ensemble based on Random Forests for genetic data

Dataset

Scheme

DS(P)

Q(P)

Q(P*)

Q(P*)-Q(P)

HapMap

FixedK

0.2697

0.7823

0.9353

0.1529

RandomK

0.2614

0.7909

0.9208

0.1299

TrueK

0.1542

0.8453

0.9057

0.0604

Pan-Asian

FixedK

0.2800

0.7794

0.9620

0.1826

RandomK

0.3204

0.7727

0.9701

0.1974

TrueK

0.1438

0.8799

0.9669

0.0870

Shriver’s

FixedK

0.1543

0.8592

0.9204

0.0612

RandomK

0.2555

0.7680

0.8958

0.1279

TrueK

0.1435

0.8530

0.8898

0.0368

  1. The table shows the diversity and quality of the base clusterings (denoted by DS (P) and Q (P), respectively) along with the quality of the ensemble’s final clustering, Q (P *), for three datasets using the three different schemes: FixedK, RandomK, and TrueK
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BioData Mining

ISSN: 1756-0381