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Mathematical techniques and the number of groups

Published online by Cambridge University Press:  08 April 2008

Michael Lavine
Michael Lavine
Affiliation:
Department of Statistical Science, Duke University, Durham, NC 27708. michael@stat.duke.eduhttp://fds.duke.edu/db/aas/stat/faculty/michael
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Abstract

Cluster analysis, factor analysis, and multidimensional scaling are not good guides to the number of groups in a data set. In fact, the number of groups may not be a well-defined concept.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 31 , Issue 1 , February 2008 , pp. 83 - 84
Copyright
Copyright © Cambridge University Press 2008

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References

Hastie, T., Tibshirani, R. & Friedman, J. (2001) The elements of statistical learning, data mining, inference, and prediction. Springer.CrossRefGoogle Scholar