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

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

Fuzzy c-Logistic Regression Model in the Presence of Noise Cluster

  • Alanzado, Arnold C. (Graduate School of Systems and Information Engineering, University of Tsukuba) ;
  • Miyamoto, Sadaaki (Institute of Engineering Mechanics and System, University of Tsukuba)
  • 발행 : 2003.09.01
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초록

In this paper we introduce a modified objective function for fuzzy c-means clustering with logistic regression model in the presence of noise cluster. The logistic regression model is commonly used to describe the effect of one or several explanatory variables on a binary response variable. In real application there is very often no sharp boundary between clusters so that fuzzy clustering is often better suited for the data.

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