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- W2014862003 abstract "Suppressed fuzzy c-means (S-FCM) clustering algorithm with the intention of combining the higher speed of hard c-means clustering algorithm and the better classification performance of fuzzy c-means clustering algorithm had been studied by many researchers and applied in many fields. In the algorithm, how to select the suppressed rate is a key step. In this paper, we give a method to select the fixed suppressed rate by the structure of the data itself. The experimental results show that the proposed method is a suitable way to select the suppressed rate in suppressed fuzzy c-means clustering algorithm." @default.
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- W2014862003 date "2014-01-01" @default.
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- W2014862003 title "A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm" @default.
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- W2014862003 doi "https://doi.org/10.4236/am.2014.58119" @default.
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