Evaluation of Modified Categorical Data Fuzzy Clustering Algorithm on the Wisconsin Breast Cancer Dataset

Table 2

Average clustering results with standard deviation, in brackets, for Wisconsin breast cancer dataset. For all values of , Ahmad and Dey [22] distance measure performed better.

The value of (the measure of fuzziness)	Clustering error with Ahmad and Dey [22] distance measure algorithm in %	Clustering error with Hamming distance in %
1.1	5.0 (0.3)	10.4 (0.8)
1.5	4.7 (0.4)	10.3 (0.7)
1.9	5.0 (0.6)	9.7 (1.1)