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In this paper we introduce a novel fuzzy vector quantization algorithm that tries to solve certain problems related to the implementation of fuzzy cluster analysis in vector quantization. The proposed method employs an objective function that combines the merits of fuzzy and crisp clustering in a uniform fashion. The algorithm's structure encompasses two basic design strategies. The first one concerns...
To determine typical flood hydrographs by making full use of observed data, the fuzzy c-means (FCM) clustering algorithm is used to cluster all observed hydrographs into several clusters, each of which gives a typical hydrograph. Because it is prone to fall into local optimum, especially when dealing with massive high dimensional data as in the flood hydrograph classification, the conventional FCM...
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