Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure
作者： K. Honda , A. Notsu , T. Matsui , H. Ichihashi
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摘要: 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 approach, evaluates the degree cluster partitions from view point optimality objective functions FCM-type clustering. approach makes it possible to evaluate robust partitions, features not available because their possibilistic natures.
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