Fuzzy c-Lines for Data with Tolerance

نویسندگان

  • Yuchi Kanzawa
  • Yasunori Endo
  • Sadaaki Miyamoto
چکیده

This paper presents a new clustering algorithm ,which is based on fuzzy c-lines, can treat data with some errors. First, the tolerance is formulated and introduce into optimization problem of clustering. Next, the problem is solved using Karush-Kuhn-Tucker conditions. Last, the algorithm is constructed based on the results of solving the problem. Some numerical examples for the proposed method are shown. Keywords— Data with Tolerance, Fuzzy c-Lines, Fuzzy Clustering

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تاریخ انتشار 2009