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Journal of the American Statistical Association Volume 105, 2010 - Issue 490
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Theory and Methods

A Framework for Feature Selection in Clustering

Daniela M. Witten Daniela M. Witten is Ph.D. Student, Department of Statistics, Stanford University, Stanford, CA 94305 . Robert Tibshirani is Professor, Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305. This manuscript was improved by helpful comments from the editor, an associate editor, and two anonymous referees. We thank Jerome Friedman, Nema Dean, Wei Pan, and Hui Zhou for making R code available and for useful comments. Trevor Hastie provided helpful suggestions. Daniela Witten was partially supported by a National Defense Science and Engineering Graduate Fellowship. Robert Tibshirani was partially supported by National Science Foundation grant DMS-9971405 and National Institutes of Health contract N01-HV-28183.
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Robert Tibshirani Daniela M. Witten is Ph.D. Student, Department of Statistics, Stanford University, Stanford, CA 94305 . Robert Tibshirani is Professor, Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305. This manuscript was improved by helpful comments from the editor, an associate editor, and two anonymous referees. We thank Jerome Friedman, Nema Dean, Wei Pan, and Hui Zhou for making R code available and for useful comments. Trevor Hastie provided helpful suggestions. Daniela Witten was partially supported by a National Defense Science and Engineering Graduate Fellowship. Robert Tibshirani was partially supported by National Science Foundation grant DMS-9971405 and National Institutes of Health contract N01-HV-28183.
Pages 713-726 | Received 01 Jul 2009, Published online: 01 Jan 2012

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