Table 9 Execution time for determining the initial centers using K-Means, FEKM, MCKM, MFQ and FLCS.
From: An efficient framework for obtaining the initial cluster centers
Data sets | K-means | FEKM | MCKM | MFQ | FLCS |
|---|---|---|---|---|---|
Iris | 0.000030 | 0.15787 | 0.00243 | 0.01866 | 0.00398 |
Balance | 0.000030 | 3.03097 | 0.01759 | 0.01068 | 0.01332 |
Abalone | 0.000039 | 5.01312 | 0.04713 | 5.34933 | 0.06515 |
Seed | 0.000026 | 0.33564 | 0.00392 | 0.83359 | 0.00258 |
TAE | 0.000032 | 0.16324 | 0.00243 | 0.02514 | 0.00607 |
Wine | 0.000035 | 0.22144 | 0.00268 | 0.06315 | 0.00511 |
Glass | 0.000028 | 0.35372 | 0.00318 | 1.30522 | 0.00266 |
Mushroom | 0.000041 | 5.25642 | 0.07466 | 6.02473 | 0.04643 |
Adult | 0.000052 | 8.23141 | 0.31084 | 10.32981 | 0.25333 |
Haberman | 0.000021 | 0.67761 | 0.00275 | 0.01307 | 0.00174 |
