ABSTRACT
The c-means algorithm is also referred to as the fuzzy c-means (FCM) algorithm, which was developed by Dunn (1974a) and improved by Bezdek (1981b). Since the c-means algorithm is a fuzzy clustering algorithm, it allows one record to belong to two or more clusters with some weights. The c-means algorithm is very similar to the k-means algorithm in other aspects. In this chapter, we implement the c-means algorithm and illustrate it with some examples.
