How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification: written contribution to the discussion on the paper by Hennig and Liao

McLachlan, G. J. (2013) How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification: written contribution to the discussion on the paper by Hennig and Liao. Applied Statistics-Journal of the Royal Statistical Society Series C, 62 3: 309-369. doi:10.1111/j.1467-9876.2012.01066.x


Author McLachlan, G. J.
Title How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification: written contribution to the discussion on the paper by Hennig and Liao
Journal name Applied Statistics-Journal of the Royal Statistical Society Series C   Check publisher's open access policy
ISSN 0035-9254
1467-9876
Publication date 2013-05-01
Sub-type Article (original research)
DOI 10.1111/j.1467-9876.2012.01066.x
Volume 62
Issue 3
Start page 309
End page 369
Total pages 61
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2014
Language eng
Formatted abstract
Given the extensive use of finite mixture models in the clustering of data sets from a wide variety of fields, it is instructive to examine from time to time the basic assumptions underlying this approach to clustering. This paper serves a useful role in this respect...
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2014 Collection
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 33 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 36 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 11 Sep 2013, 02:43:14 EST by Professor Geoff Mclachlan on behalf of Mathematics