Table 7 The accuracy of all distance methods for Heart disease dataset.

From: Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method

No.

Distance metric

Accuracy

1.

Euclidean

0.8316

2.

Cityblock

0.8249

3.

Chebyshev

0.6734

4.

Cosine

0.8418

5.

Minkowski

0.8316

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