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- W2950831415 abstract "In this paper we introduce two procedures for variable selection in cluster analysis and classification rules. One is mainly oriented to detect the noisy non-informative variables, while the other deals also with multicolinearity. A forward-backward algorithm is also proposed to make feasible these procedures in large data sets. A small simulation is performed and some real data examples are analyzed." @default.
- W2950831415 created "2019-06-27" @default.
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- W2950831415 date "2006-10-25" @default.
- W2950831415 modified "2023-09-27" @default.
- W2950831415 title "Selection of variables for cluster analysis and classification rules" @default.
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