Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.36-39
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- 2003
Simultaneous Approach to Fuzzy Clustering and Quantification of Categorical Data with Missing Values
- Honda, Katsuhiro (Graduate School of Engineering, Osaka Prefecture University) ;
- Nakamura, Yoshihito (Graduate School of Engineering, Osaka Prefecture University) ;
- Ichihashi, Hidetomo (Graduate School of Engineering, Osaka Prefecture University)
- Published : 2003.09.01
Abstract
This paper proposes a simultaneous application of homogeneity analysis and fuzzy clustering with in complete data. Taking the similarity between the loss of homogeneity in homogeneity analysis and the least squares criterion in principal component analysis into account, the new objective function is defined in a similar formulation to the linear fuzzy clustering with missing values. Numerical experiment shows the characteristic properties of the proposed method.