Table 4 Evaluation of metrics accuracy.

From: Clustering explanation based on multi-hyperrectangle

Accuracy

DReaM

ExKMC

CART

un-MHR

MHR

Moon

0.8

0.75

0.5

1

0.97

Flame

0.8613

0.8403

0.7983

0.9958

0.979

Smile face

0.4705

0.7484

0.983

1

0.9876

T4.8k

0.4186

0.495

0.9859

0.987

0.985

Iris

0.94

0.8933

0.92

0.9533

0.92

Bupa

0.8116

0.9913

0.9797

0.9971

0.9913

Ecoli

0.5268

0.9137

0.7946

0.8958

0.8571

Seeds

0.9116

0.7992

0.8125

0.9905

0.9762

Wholesale

0.9268

0.8471

0.8946

0.9932

0.9932

Glass

0.4346

0.9439

0.729

0.9953

0.9953

Wine

0.9213

0.2809

0.9944

0.9888

0.9719