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- W2916104420 abstract "Abstract This article discusses analysis techniques for clustering objects into hopefully meaningful sets. Hierarchical methods are presented for clustering both variables and cases. Examples are presented for variations on the methods. A nonhierarchical method, k‐means, is discussed for continuous data. Finally, an example comparing the results of k‐means clustering to an ad hoc method using principal components analysis is given." @default.
- W2916104420 created "2019-03-02" @default.
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- W2916104420 date "2005-04-15" @default.
- W2916104420 modified "2023-10-12" @default.
- W2916104420 title "Cluster Analysis: Overview" @default.
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- W2916104420 doi "https://doi.org/10.1002/0470013192.bsa101" @default.
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