Rough Fuzzy Clustering Algorithm Using Fuzzy Rough Correlation Factor

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There are advantages to both fuzzy set and rough set theories, Combining these two and used for clustering gives better results. Rough clustering is less restrictive than hard clustering and less descriptive than fuzzy clustering. Rough clustering is an appropriate method since it separates the objects that are definite members of a cluster from the objects that are only possible members of a cluster. In fuzzy clustering similarities are described by membership degrees while in rough clustering definite and possible members to a cluster are detected. Fuzzy Rough Correlation Factor is the threshold for degree of fuzziness. It determines how low a DFR value shall be for it to be considered for cluster membership assignment. This paper proposes new modified rough fuzzy clustering algorithm based on fuzzy rough correlation factor. Hence rough fuzzy clustering can be derived directly from the results obtained thro fuzzy clustering.
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Fuzzy Clustering; Fuzzy Rough Correlation Factor; Rough Fuzzy Clustering

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