Fuzzy Classification Using EM Algorithm

  • Lee Sang-Hoon (Department of Industrial Engineering, Kyungwon University)
  • 발행 : 2005.10.01

초록

This study proposes a fuzzy classification using EM algorithm. For cluster validation, this approach iteratively estimates the class-parameters in the fuzzy training for the sample classes and continuously computes the log-likelihood ratio of two consecutive class-numbers. The maximum ratio rule is applied to determine the optimal number of classes.

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