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

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Provided by: IJSRCSAMS
Topic: Data Management
Format: PDF
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 the authors have to fix for the clustering task plays a very important rule on the performance of the algorithm.
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