[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5573/IEIESPC.2015.4.4.209

A Simulation Study on The Behavior Analysis of The Degree of Membership in Fuzzy c-means Method

Okazaki, Takeo (Department of Information Engineering, University of the Ryukyus)
Aibara, Ukyo (Department of Information Engineering, University of the Ryukyus)
Setiyani, Lina (Department of Information Engineering, Graduate school of Engineering and Science, University of the Ryukyus)

Publication Information

IEIE Transactions on Smart Processing and Computing / v.4, no.4, 2015 , pp. 209-215 More about this Journal

Abstract

Fuzzy c-means method is typical soft clustering, and requires a degree of membership that indicates the degree of belonging to each cluster at the time of clustering. Parameter values greater than 1 and less than 2 have been used by convention. According to the proposed data-generation scheme and the simulation results, some behaviors in the degree of "fuzziness" was derived.

Keywords

Fuzzy c-means; Degree of membership; Numerical simulation; Correct ratio; Incorrect ratio;

Citations & Related Records

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