Clustering objects on subsets of attributes: Discussion on the paper by Friedman and Meulman

Journal of the Royal Statistical Society. Series B: Statistical Methodology

Volumn 66, Issue 4, 2004, Pages 839-849

  Hand, David J ^a   Glasbey, Chris ^b   Husmeier, Dirk ^b   Gower, John C ^c   Van Houwelingen, Hans C ^d   Bugrien, J B ^e   Nason, Guy ^f   Critchley, Frank ^c   Hoff, Peter D ^g   McLachlan, G J ^h   Bean, R W ^h  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

^c OPEN UNIVERSITY   (United Kingdom)

^d LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^e UNIVERSITY OF LEEDS   (United Kingdom)

^f UNIVERSITY OF BRISTOL   (United Kingdom)

^g UNIVERSITY OF WASHINGTON   (United States)

^h UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 8644223171     PISSN: 13697412     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Note

References (14)

1. Berrington, H. (1973) Backbench Opinion in the House of Commons 1945-55. Oxford: Pergamon.
2. Day, N. E. (1969) Estimating the components of a mixture of two normal distributions. Biometrika, 56, 463-474.
3. Fisher, R. A. (1936) The use of multiple measurements in taxonomic problems. Ann. Eugen., 7, 179-188.
4. Friedman, J. H. and Popescu, B. E. (2004) Gradient directed regularization for linear regression and classification. Technical Report. Department of Statistics, Stanford University, Stanford.
5. Ganesalingam, S. and McLachlan, G. J. (1979) A case study of two clustering methods based on maximum likelihood. Statist. Neerland., 33, 81-90.
6. Gasser, T. and Kneip, A. (1995) Searching for structure in curve samples. J. Am. Statist. Ass., 90, 1179-1188.
7. Gifi, A. (1990) Nonlinear Multivariate Analysis. Chichester: Wiley.
8. Hoff, P. D. (2004) Clustering based on Dirichet mixtures of attribute ensembles. Technical Report 448. University of Washington, Seattle.
9. Hyvarinen, A., Karhunen, J. and Oja, E. (2001) Independent Component Analysis. New York: Wiley.
10. MacEachern, S. N. (1994) Estimating normal means with a conjugate style Dirichlet process prior. Communs Statist. Simuln Computn, 23, 727-741.
11. McLachlan, G. J. and Basford, K. E. (1988) Mixture Models: Inference and Applications to Clustering. New York: Dekker.
12. McLachlan, G. J., Bean, R. W. and Peel, D. (2002) A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18, 413-422.
13. Nason, G. P. (2001) Early Day Motions: exploring backbench opinion during 1997-2000. Technical Report 01:11. Statistics Group, Department of Mathematics, University of Bristol, Bristol.
14. Wolfe, J. H. (1967) NORMIX: computational methods for estimating the parameters of multivariate normal mixtures of distributions. Research Memorandum SRM 68-2. US Naval Personnel Research Activity, San Diego.