Pattern Recognition with Fuzzy Objective Function Algorithms
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Cites background or methods from "Pattern Recognition with Fuzzy Obje..."
...A generalization of the FCM algorithm was proposed by Bezdek [1981] through a family of...
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...The book by Bezdek [1981] is a good source for material on fuzzy clustering....
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9,057 citations
Cites methods from "Pattern Recognition with Fuzzy Obje..."
...Another popular technique, similar in spirit to k-means clustering, is fuzzy k-means clustering (Bezdek, 1981; Dunn, 1974)....
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...Another popular technique, similar in spirit to k-means clustering, is fuzzy k-means clustering (Bezdek, 1981; Dunn, 1973)....
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...In the second step, the vertex points are associated to nc clusters by using fuzzy k-means clustering (Bezdek, 1981; Dunn, 1973) (Section IV....
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References
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"Pattern Recognition with Fuzzy Obje..." refers background in this paper
...Dunn(37) observed that the endpoints of the range of H fail to establish suitable benchmarks: at c = 1, H = 0 because Mil = M l ; at c = n, the n x n identity matrix is the n -partition of X which optimizes most fuzzy clustering criteria, and again H is zero....
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...Dunn suggested in (37) a normalization of H that might counter this tendency....
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...(37) The behavior of F( U; c) under the hypotheses of (T18....
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