Statistical scheme via AIC for evaluating the optimal cut off level in fuzzy clustering

In this paper we show a new statistical scheme to find the optimal cut off level in fuzzy clustering which is an improvement of Uesu and Shinkai et. al [4]~[7]. Deterministic algorithms which seek a certain equilibrium cluster level have essential disadvantage in principle. We focus in it and propose a statistical scheme via AIC.