Clustering and Fuzzy Clustering
Witold Pedrycz · 2005
The chapter is a comprehensive introduction to the area of clustering and fuzzy clustering by providing the reader with the basic notions and notation, main categories of clustering techniques and motivation behind the introduction of fuzzy clusters and partial membership to clusters. The reference model of clustering is the well-known objective function based Fuzzy C-Means (FCM). The geometry of the FCM and its variants is discussed along with its main extensions such as possibilistic clustering and noise clustering. Contrasted are self-organizing maps and the FCM algorithm.