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Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure
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Author(s): K. Honda (Osaka Prefecture University, Japan), A. Notsu (Osaka Prefecture University, Japan), T. Matsui (Osaka Prefecture University, Japan)and H. Ichihashi (Osaka Prefecture University, Japan)
Copyright: 2013
Pages: 12
Source title:
Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization
Source Author(s)/Editor(s): Toly Chen (Feng Chia University, Taiwan)
DOI: 10.4018/978-1-4666-1870-1.ch002
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Abstract
Cluster validation is an important issue in fuzzy clustering research and many validity measures, most of which are motivated by intuitive justification considering geometrical features, have been developed. This paper proposes a new validation approach, which evaluates the validity degree of cluster partitions from the view point of the optimality of objective functions in FCM-type clustering. This approach makes it possible to evaluate the validity degree of robust cluster partitions, in which geometrical features are not available because of their possibilistic natures.
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