Fuzzy C-Means (FCM) is a common data analysis method, but the clustering effect of this algorithm easily affected by initial centers. Currently, scholars often use multiple population genetic (MPGA) to optimize centers, MPGA has insufficient global search ability and lacks self-adaptability, prone premature convergence, poor Therefore, paper proposes an adaptive FCM DMGA-FCM based on derivative...

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...