A simulation study for the behavior analysis of the degree of membership in fuzzy c-means method
Takeo Okazaki, Ukyo Aibara, Lina Setiyani · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2015
Fuzzy c-means method is a typical soft clustering, and needs to give the degree of membership that indicates the degree of belonging to each cluster at the time of the clustering execution. The parameter values greater than 1 less than 2 have been used conventionally. According to the proposed data generation scheme and the simulation results, some behavior of the fuzzy degree was derived.