Table 5 Clustering accuracy score of K-means, FEKM, MCKM, MCQ and FLCS using Rand Index.

From: An efficient framework for obtaining the initial cluster centers

Data sets

K-means

FEKM

MCKM

MFQ

FLCS

Iris

0.848

0.867

0.859

0.879

0.879

Balance

0.561

0.602

0.566

0.674

0.674

Abalone

0.491

0.523

0.596

0.637

0.637

Seed

0.756

0.809

0.901

0.821

0.821

TAE

0.543

0.572

0.543

0.601

0.601

Wine

0.691

0.834

0.718

0.691

0.691

Glass

0.581

0.593

0.704

0.611

0.611

Mushroom

0.591

0.641

0.572

0.587

0.587

Adult

0.528

0.427

0.528

0.539

0.539

Haberman

0.499

0.471

0.456

0.501

0.501

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