A methodology for Fuzzy Clustering and its applications. : An Application of the theory to Eastan Medical Diagnosis

Abstract

We discuss a method of fuzzy clustering which is recently created by us. The effectivity of the method is verified not only in theoretical way but also by the computer simulations using the test samples in two dimensional case and also the sample derived from eastan medical diagnosis in five dimension. It is enphasized that the resultant dendgrams by this method can represent well how the samples closely distributes rather than the several traditional methods based on Euclidian distance.