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Volume 77 (2016)

EAS Publications Series

Volume 77 (2016)

Statistics for Astrophysics: Clustering and Classification

Les Houches, France, October 11–16, 2015
D. Fraix-Burnet and S. Girard (Eds.)

ISBN: 978-2-7598-9001-9

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Editorial

Foreword p. 1

Didier Fraix-Burnet and Stéphane Girard

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677001

Introduction to R p. 3

Didier Fraix-Burnet

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677002

Elements of Statistics p. 13

G. Grégoire

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677003

Some Basic Elements in Clustering and Classification p. 39

G. Grégoire

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677004

Supervised and Unsupervised Classification Using Mixture Models p. 69

S. Girard and J. Saracco

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677005

Model-based Clustering of High-Dimensional Data in Astrophysics p. 91

C. Bouveyron

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677006

Clustering of Variables for Mixed Data p. 121

J. Saracco and M. Chavent

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677007

Introduction to Kernel Methods: Classification of Multivariate Data p. 171

M. Fauvel

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677008

Modelling structured data with Probabilistic Graphical Models p. 195

F. Forbes

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677009

Concepts of Classification and Taxonomy Phylogenetic Classification p. 221

D. Fraix-Burnet

Published online: 26 May 2016

DOI: https://doi.org/10.1051/eas/1677010