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Soft Clustering plays a very important rule on clustering real world datawhere a data item contributes to more than one cluster. Fuzzy logic basedalgorithms are always suitable for performing soft clustering tasks. Fuzzy CMeans (FCM) algorithm is a very popular fuzzy logic based algorithm. In case offuzzy logic based algorithm, the parameter like exponent for the partitionmatrix that we have to fix for the clustering task plays a very important ruleon the performance of the algorithm. In this paper, an experimental analysis isdone on FCM algorithm to observe the impact of this parameter on theperformance of the algorithm.

Impact of Exponent Parameter Value for the Partition Matrix on the Performance of Fuzzy C Means Algorithm