Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-27T09:31:27.353Z Has data issue: false hasContentIssue false
  • English
  • Français

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. [email protected]://fds.duke.edu/db/aas/stat/faculty/michael
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

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