  Soft Clustering plays a very important rule on clustering real world data
where a data item contributes to more than one cluster. Fuzzy logic based
algorithms are always suitable for performing soft clustering tasks. Fuzzy C
Means (FCM) algorithm is a very popular fuzzy logic based algorithm. In case of
fuzzy logic based algorithm, the parameter like exponent for the partition
matrix that we have to fix for the clustering task plays a very important rule
on the performance of the algorithm. In this paper, an experimental analysis is
done on FCM algorithm to observe the impact of this parameter on the
performance of the algorithm.
