Table 1.

Parameters used for the FCM clustering of the real datasets. Comparison of fuzzification, m, and number of clusters, c, according to the different normalization methods (values in parentheses are the numbers of clusters for the normalized data). N and p indicate the numbers of genes and arrays for the dataset used in the analysis, respectively. In particular, selection of m depends on the normalization method applied to the dataset.

			Normalization method
Dataset	N	p	Z (c)	R (c)	Lowess (c)
Serum	517	13	1.25 (10)	1.30 (9)	1.30 (11)
Sporulation	522	16	1.63 (11)	1.75 (11)	1.66 (12)
Yeast	2945	7	1.16 (10)	1.28 (9)	1.66 (13)