Research Article

Memetic Variable Clustering and Its Application

Table 3

The result of the clustering of variables.

MethodsDataset
D1 (K = 2)D1 (K = 3)D1 (K = 4)D2 (K = 2)D2 (K = 3)D2 (K = 4)D3 (K = 5)D3 (K = 10)D3 (K = 20)D4 (K = 5)D4 (K = 10)D4 (K = 20)

MCLPSO-KMEANSVAR1.14E+01±1.46E − 011.21E+01±1.46E − 011.24E+01±1.46E − 016.69E+00±0.00E+004.66E+00±1.64E − 024.46E+00±2.11E − 023.44E+01±2.12E − 014.48E+01±4.06E − 015.18E+01±5.29E − 014.36E+01±4.01E − 016.51E+01±4.22E+001.06E+02±3.04E+00
CLPSO-KMEANSVAR1.13E + 01 ± 1.49E − 011.19E + 01 ± 1.54E − 011.23E + 01 ± 1.60E − 016.69E+00±0.00E+004.66E+00±1.64E − 024.45E + 00 ± 2.09E − 023.44E+01±2.10E − 014.44E + 01 ± 3.92E − 015.13E + 01 ± 5.12E − 014.34E + 01 ± 6.01E − 016.41E + 01 ± 3.42E + 001.01E + 02 ± 3.04E + 00
KMEANSVAR4.33 E + 00 ± 1.14E + 09.24E + 00 ± 1.32E + 09.33E + 00 ± 1.14E + 05.44E + 00 ± 5.21E − 013.49E + 00 ± 6.43E − 013.93E + 00 ± 4.41E − 013.41E + 01 ± 4.40E − 014.32E + 01 ± 1.43E + 004.44E + 01 ± 1.99E + 003.99E + 01 ± 2.64E + 006.00E + 01 ± 4.64E + 004.94E + 01 ± 3.44E + 00
KMEANSVAR++4.43E + 00 ± 0.97E − 019.97E + 00 ± 1.14E + 01.13E + 01 ± 8.16E − 016.13E + 00 ± 1.17E − 014.29E + 00 ± 5.71E − 014.22E + 00 ± 1.43E − 013.42E + 01 ± 4.20E − 014.39E + 01 ± 1.17E + 004.89E + 01 ± 1.01E + 004.13E + 01 ± 2.78E + 006.27E + 01 ± 4.36E + 006.43E + 01 ± 3.37E + 00
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