Interactive clustering and merging with a new fuzzy expected value

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7 Major problems exist in both crisp and fuzzy clustering algorithms. The fuzzy c-means type of algorithms use weights determined by a power m of inverse distances that remains

Carl G. Looney

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Algorithm | Fuzzy C-means Type | Fuzzy Clustering | PR 2002 |

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Added	23 Dec 2010
Updated	23 Dec 2010
Type	Journal
Year	2002
Where	PR
Authors	Carl G. Looney

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Interactive clustering and merging with a new fuzzy expected value

Algorithm | Fuzzy C-means Type | Fuzzy Clustering | PR 2002 |

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