Table 3 The selected features of BCW dataset with k=25.

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

No.

Feature name

No.

Feature name

1.

radius_mean

14.

concavity_se

2.

texture_mean

15.

concave points_se

3.

perimeter_mean

16.

radius_worst

4.

area_mean

17.

texture_worst

5.

smoothness_mean

18.

perimeter_worst

6.

compactness_mean

19.

area_worst

7.

concavity_mean

20.

smoothness_worst

8.

concave points_mean

21.

compactness_worst

9.

symmetry_mean

22.

concavity_worst

10.

radius_se

23.

concave points_worst

11.

perimeter_se

24.

symmetry_worst

12.

area_se

25.

fractal_dimension_worst

13.

compactness_se