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Unique Clustering techniques make various assumptions within the framework from the data, frequently described by some similarity metric and evaluated, one example is, by inner compactness, or the similarity involving members of exactly the same cluster, and separation, the difference between clusters. Other strategies are according to approximated density and http://solbarampension.com/bbs/board.php?bo_table=free&wr_id=6804
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