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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| Format: | Conference or Workshop Item |
| Language: | en en |
| Published: |
2014
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| Subjects: | |
| Online Access: | 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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