Discussion of “Model-based clustering and classification with non-normal mixture distributions” by S.X. Lee and G.J. McLachlan

Giuliano Galimberti; Angela Montanari

doi:10.1007/s10260-013-0247-2

Discussion of “Model-based clustering and classification with non-normal mixture distributions” by S.X. Lee and G.J. McLachlan

Statistical Methods & Applications ◽

10.1007/s10260-013-0247-2 ◽

2013 ◽

Vol 22 (4) ◽

pp. 463-465

Author(s):

Giuliano Galimberti ◽

Angela Montanari

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Comments on: model-based clustering and classification with non-normal mixture distributions

Statistical Methods & Applications ◽

10.1007/s10260-013-0245-4 ◽

2013 ◽

Vol 22 (4) ◽

pp. 459-461

Author(s):

L. A. García-Escudero ◽

A. Gordaliza ◽

A. Mayo-Iscar

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Discussion of ‘Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan

Statistical Methods & Applications ◽

10.1007/s10260-013-0248-1 ◽

2013 ◽

Vol 22 (4) ◽

pp. 467-472

Author(s):

Paul D. McNicholas ◽

Ryan P. Browne ◽

Paula M. Murray

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Model-based clustering and classification with non-normal mixture distributions

Statistical Methods & Applications ◽

10.1007/s10260-013-0237-4 ◽

2013 ◽

Vol 22 (4) ◽

pp. 427-454 ◽

Cited By ~ 51

Author(s):

Sharon X. Lee ◽

Geoffrey J. McLachlan

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”

Statistical Methods & Applications ◽

10.1007/s10260-013-0249-0 ◽

2013 ◽

Vol 22 (4) ◽

pp. 473-479

Author(s):

Sharon X. Lee ◽

Geoffrey J. McLachlan

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Discussion of “Model-based clustering with non-normal mixture distributions” by S. X. Lee and G. J. McLachlan

Statistical Methods & Applications ◽

10.1007/s10260-013-0240-9 ◽

2013 ◽

Vol 22 (4) ◽

pp. 455-458 ◽

Cited By ~ 1

Author(s):

Christian Hennig

Keyword(s):

Mixture Distributions ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based

Model-Based Clustering and Classification for Data Science

10.1017/9781108644181 ◽

2019 ◽

Cited By ~ 17

Author(s):

Charles Bouveyron ◽

Gilles Celeux ◽

T. Brendan Murphy ◽

Adrian E. Raftery

Keyword(s):

Data Science ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Normal Mixture Model-Based Clustering of Data Using Genetic Algorithm

Artificial Intelligence and Applied Mathematics in Engineering Problems - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-36178-5_43 ◽

2020 ◽

pp. 539-543

Author(s):

Maruf Gogebakan ◽

Hamza Erol

Keyword(s):

Genetic Algorithm ◽

Mixture Model ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based ◽

Normal Mixture Model

Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering

Journal of Classification ◽

10.1007/s00357-007-0004-5 ◽

2007 ◽

Vol 24 (2) ◽

pp. 155-181 ◽

Cited By ~ 192

Author(s):

Chris Fraley ◽

Adrian E. Raftery

Keyword(s):

Bayesian Regularization ◽

Normal Mixture ◽

Model Based Clustering ◽

Model Based

Special issue on “Advances on model-based clustering and classification”

Advances in Data Analysis and Classification ◽

10.1007/s11634-019-00355-w ◽

2019 ◽

Vol 13 (1) ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Sylvia Frühwirth-Schnatter ◽

Salvatore Ingrassia ◽

Agustín Mayo-Iscar

Keyword(s):

Special Issue ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification

Model-Based Clustering and Classification for Data Science: With Applications in R. Cambridge Series in Statistical and Probabilistic Mathematics. By Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, and Adrian E. Raftery. Cambridge and New York: Cambridge University Press. $79.99. xvii + 427 p.; ill.; author and subject indexes. ISBN: 978-1-108-49420-5. 2019.

The Quarterly Review of Biology ◽

10.1086/710399 ◽

2020 ◽

Vol 95 (3) ◽

pp. 254-254

Author(s):

C. M. Foley

Keyword(s):

New York ◽

Data Science ◽

Cambridge University ◽

Model Based Clustering ◽

Model Based ◽

Clustering And Classification