An Efficient Optimality Test for the Fuzzy c-Means Algorithm

نویسندگان

  • Jian Yu
  • Houkuan Huang
  • Shengfeng Tian
چکیده

The Fuzzy c-means algorithm (FCM) is proved to converge to either local minimum or saddle point by Bezdek et al.. However, it is problematical to judge the local minimum of a solution of the FCM in an easy way. In this paper, the Hessian matrix of one reduced objective function of the FCM is got and analyzed. Based on this study, a new optimality test of fixed points of the FCM is given, and its efficacy is verified by the examples in this paper. Moreover, a new stopping criterion for the FCM is also proposed.

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تاریخ انتشار 2002