Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.431-434
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- 2003
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)
- Published : 2003.09.01
Abstract
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.
Keywords