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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation
verfasst von : Ken Onishi, Naohiko Kinoshita, Yasunori Endo
Erschienen in: Modeling Decisions for Artificial Intelligence
Verlag: Springer International Publishing
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Clustering is a method of data analysis. Rough
k
-means (RKM) by Lingras et al. is one of rough clustering algorithms [3]. The method does not have a clear indicator to determine the most appropriate result because it is not based on objective function. Therefore we proposed a rough clustering algorithm based on optimization of an objective function [7]. This paper will propose a new rough clustering algorithm based on optimization of an objective function with fuzzy-set representation to obtain better lower approximation, and estimate the effectiveness through some numerical examples.