Selective sampling for approximate clust
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Liang Wang; James C. Bezdek; Christopher Leckie; Ramamohanarao Kotagiri
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Article
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2008
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John Wiley and Sons
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English
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A key challenge in pattern recognition is how to scale the computational efficiency of clustering algorithms on large data sets. The extension of non-Euclidean relational fuzzy c-means (NERF) clustering to very large (VL = unloadable) relational data is called the extended NERF (eNERF) clustering al