A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters

Table 2

estimated by several methods. is the number of objects in the dataset, is the actual number of clusters, is the number of clusters estimated by the empirical rule, that is, , is the number of clusters obtained by AP algorithm, and is the number of clusters obtained by density-based algorithm.

Dataset
Iris	150	3	12	9	20	14	9	6
Wine	178	3	13	15	14	7	6	3
Seeds	210	3	14	13	18	12	5	2
SubKDD	1050	6	32	24	21	17	10	7
SD1	200	20	14	19	38	22	20	—
SD2	2000	4	44	25	16	3	4	2
SD3	885	3	29	27	24	19	5	3
SD4	947	3	30	31	23	13	8	4