-Means: A Fast Fuzzy Clustering

Table 1

The time processing of CM versus KCM with Euclidean, Manhattan, and Minkowski ( distances when the number of clusters is 40.

	Euclidean	Manhattan	Minkowski
0.5	KCM = 6.25% CM	KCM = 1.82% CM	KCM = 0.83% CM
1	KCM = 9.09% CM	KCM = 1.15% CM	KCM = 0.79% CM
1.5	KCM = 11.11% CM	KCM = 1.06% CM	KCM = 2.56% CM
2	KCM = 11.76% CM	KCM = 0.59% CM	KCM = 1% CM