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A framework for feature selection in clustering

We consider the problem of clustering observations using a potentially large set of features. One might expect that the true underlying clusters present in the data differ only with respect to a small fraction of the features, and will be missed if one clusters the observations using the full set of...

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Detalles Bibliográficos
Main Authors: Witten, Daniela M., Tibshirani, Robert
Formato: Artigo
Idioma:Inglês
Publicado: 2010
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2930825/
https://ncbi.nlm.nih.gov/pubmed/20811510
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2010.tm09415
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