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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identical to machine learning. Key tasks of data-mining are cluster analysis, outlier detection and mining of association rules.

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Perform K-means (or its close kin) clustering with only a distance matrix, not points-by-fea...

With regard to clustering and MDS I would suggest the following resources: Numerical Ecology (Pierre Legendre and Louis Legendre): http://www.sciencedirect.com/science/bookseries/01678892/20 or http …
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