A case study of two clustering methods based on maximum likelihood

Ganesalingam, S. and McLachlan, G. J. (1979) A case study of two clustering methods based on maximum likelihood. Statistica Neerlandica, 33 2: 81-90. doi:10.1111/j.1467-9574.1979.tb00665.x


Author Ganesalingam, S.
McLachlan, G. J.
Title A case study of two clustering methods based on maximum likelihood
Journal name Statistica Neerlandica   Check publisher's open access policy
ISSN 0039-0402
1467-9574
Publication date 1979-06-01
Sub-type Article (original research)
DOI 10.1111/j.1467-9574.1979.tb00665.x
Volume 33
Issue 2
Start page 81
End page 90
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Formatted abstract
Two commonly used clustering methods based on maximum likelihood are considered in the context of the classification problem where observations of unknown origin belong to one of two possible populations. The basic assumptions and associated properties of the two methods are contrasted and illustrated by their application to some medical data. Also, the problem of updating an allocation procedure is considered.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
 
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Created: Sun, 15 Sep 2013, 16:39:22 EST by Professor Geoff Mclachlan on behalf of Mathematics