Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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HANDLING MISSING VALUES IN FUZZY c-MEANS

  • Miyamoto, Sadaaki (Institute of Information Sciences and Electronics, University of Tsukuba) ;
  • Takata, Osamu (Master's Program in Science and Engineering, University of Tsukuba) ;
  • Unayahara, Kazutaka (Institute of Information Sciences and Electronics, University of Tsukuba)
  • Published : 1998.06.01
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Abstract

Missing values in data for fuzzy c-menas clustering is discussed. Two basic methods of fuzzy c-means, i.e., the standard fuzzy c-means and the entropy method are considered and three options of handling missing values are proposed, among which one is to define a new distance between data with missing values, second is to alter a weight in the new distance, and the third is to fill the missing values by an appropriate numbers. Experimental Results are shown.

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