Date of Publication :21st February 2018
Abstract: Clustering is a method of grouping the objects into clusters. In general, the clustering algorithms can be classified into two categories namely hard clustering and soft (fuzzy) clustering. In hard clustering, each data point either belongs to a cluster completely or not. In case of soft clustering techniques, fuzzy sets are used to cluster data, so that each point may belong to two or more clusters with different degrees of membership. Fuzzy C Means (FCM) is a very popular soft clustering technique, and similarly, K-means is an important hard clustering technique In this paper we represent a survey on fuzzy c means clustering algorithm. These algorithms have recently been shown to produce good results in a wide variety of real-world applications.
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