Category:Data clustering
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Revision as of 20:57, 15 January 2017 by imported>Jworkorg
Given a set of data points, group them into a clusters so that points within each cluster are similar to each other, and points from different clusters are dissimilar Usually, points are in a high-dimensional space, and similarity is defined using a distance measure, such as Euclidean, Cosine, Jaccard.
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Cluster analysis
Pages in category "Data clustering"
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