A possibilistic fuzzy c-means (PFCM) algorithm is a reliable proposed to deal with the weaknesses associated handling noise sensitivity and coincidence clusters in (FCM) (PCM). However, PFCM only applicable complete data sets. Therefore, this research modified for clustering incomplete sets OCSPFCM NPSPFCM performance evaluated based on three aspects, 1) accuracy percentage, 2) number of iterat...

Fuzzy C-Mean (FCM) is an unsupervised clustering algorithm based on fuzzy set theory that allows an element to belong to more than one cluster. Where fuzzy means “unclear” or “not defined” and c denotes “clustering”. In FCM the number of cluster are randomly selected. [15] FCM is the advanced version of K-means clustering algorithm and doing more work than K-means. K-Means just needs to do a di...