On Generalized Fuzzy c-Means and Noise Clustering

Abstract

There are several types of generalized fuzzy c-means that include size variables as well as cluster covariance variables. We overview these methods and focus on two topics. First, noise clustering technique can be generalized to have new two methods. Second, these fuzzy models are compared with statistical mixture models. As a result we have a new view to regard a fuzzy model of clustering as a new statistical model. Problems to be considered in this regard are described.