Coppi, Renato; D’Urso, Pierpaolo; Giordani, Paolo - In: Computational Statistics & Data Analysis 56 (2012) 4, pp. 915-927
The Fuzzy k-Means clustering model (FkM) is a powerful tool for classifying objects into a set of k homogeneous clusters by means of the membership degrees of an object in a cluster. In FkM, for each object, the sum of the membership degrees in the clusters must be equal to one. Such a...
