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ERIC Number: EJ917494
Record Type: Journal
Publication Date: 2011-Mar
Pages: 2
Abstractor: As Provided
Reference Count: 15
ISSN: ISSN-1082-989X
Commentary on Steinley and Brusco (2011): Recommendations and Cautions
McLachlan, Geoffrey J.
Psychological Methods, v16 n1 p80-81 Mar 2011
I discuss the recommendations and cautions in Steinley and Brusco's (2011) article on the use of finite models to cluster a data set. In their article, much use is made of comparison with the "K"-means procedure. As noted by researchers for over 30 years, the "K"-means procedure can be viewed as a special case of finite mixture modeling in which the components are in equal (fixed) proportions and are taken to be normal with a common spherical covariance matrix. In this commentary, I pay particular attention to this link and to the use of normal mixture models with arbitrary component-covariance matrices.
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Publication Type: Journal Articles; Opinion Papers
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A