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Table 12 Comparative results on the user knowledge modeling data set

From: The global Minmax k-means algorithm

Method

\(E_{max}\)

\(E_{sum}\)

k-Means

13.9469

41.6798

Global k-means

16.7506

41.2257

MinMax k-means (\(p=0.5,\beta =0.3\))

11.1298

41.5906

MinMax k-means (\(p=0.5,\beta =0.1\))

12.2885

42.2599

MinMax k-means (\(p=0.5,\beta =0\))

11.3447

41.6220

MinMax k-means (\(p=0.4,\beta =0.3\))

11.4587

41.5912

MinMax k-means (\(p=0.4,\beta =0.1\))

11.4362

41.5951

MinMax k-means (\(p=0.4,\beta =0\))

11.4776

41.5757

MinMax k-means (\(p=0.3,\beta =0.3\))

11.8978

41.5361

MinMax k-means(\(p=0.3,\beta =0.1\))

11.8994

41.5463

MinMax k-means (\(p=0.3,\beta =0\))

11.9395

41.5356

MinMax k-means (\(p=0.2,\beta =0.3\))

12.5516

41.5503

MinMax k-means (\(p=0.2,\beta =0.1\))

12.5544

41.5626

MinMax k-means (\(p=0.2,\beta =0\))

12.5672

41.5508

Global Minmax k-means (\(p=0.5,\beta =0.3\))

10.9221

41.2507

Global Minmax k-means (\(p=0.5,\beta =0.1\))

10.9221

41.2507

Global Minmax k-means (\(p=0.5,\beta =0\))

10.9221

41.2507

Global Minmax k-means (\(p=0.4,\beta =0.3\))

11.0574

41.1979

Global Minmax k-means (\(p=0.4,\beta =0.1\))

11.0574

41.1979

Global Minmax k-means (\(p=0.4,\beta =0\))

11.0574

41.1979

Global Minmax k-means (\(p=0.3,\beta =0.3\))

11.6460

41.0866

Global Minmax k-means (\(p=0.3,\beta =0.1\))

11.6460

41.0866

Global Minmax k-means (\(p=0.3,\beta =0\))

11.6460

41.0866

Global Minmax k-means (\(p=0.2,\beta =0.3\))

11.8169

41.0594

Global Minmax k-means (\(p=0.2,\beta =0.1\))

11.8169

41.0594

Global Minmax k-means (\(p=0.2,\beta =0\))

11.8169

41.0594

Global Minmax k-means (\(p=0.1,\beta =0\))

11.8169

41.0594

Global Minmax k-means (\(p=0,\beta =0\))

14.9083

41.4720

  1. Italic values indicate the best results in all the present results
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