IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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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)
  • Received : 2015.07.15
  • Accepted : 2015.08.24
  • Published : 2015.08.31
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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.

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References

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