A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques

Clustering analysis has been considered as a useful means for identifying patterns in dataset. The aim for this paper is to propose a comparison study between two well-known clustering algorithms namely fuzzy c-means (FCM) and k-means. First we present an overview of both methods with emphasis on th...

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主要作者: Sharifah Sakinah, Syed Ahmad
格式: Conference or Workshop Item
语言:English
English
出版: 2014
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在线阅读:http://eprints.utem.edu.my/id/eprint/14073/1/Mucet_sakinah.pdf
http://eprints.utem.edu.my/id/eprint/14073/2/Mucet_sakinah.pdf
http://eprints.utem.edu.my/id/eprint/14073/
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