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Model-Based Clustering and Classification for Data Science: With Applications in R
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monograph
Publication date:
July 31 2019
Publisher:
Cambridge University Press
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Book Chapter
Publication date:
July 31 2019
Pages
: 386-414
DOI:
10.1017/9781108644181.014
SO-VID:
284c1a6a-7cfc-4b67-8fd1-cd14ddb20d07
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Book chapters
pp. 1
Introduction
pp. 15
Model-based Clustering: Basic Ideas
pp. 79
Dealing with Difficulties
pp. 109
Model-based Classification
pp. 134
Semi-supervised Clustering and Classification
pp. 163
Discrete Data Clustering
pp. 199
Variable Selection
pp. 217
High-dimensional Data
pp. 259
Non-Gaussian Model-based Clustering
pp. 292
Network Data
pp. 331
Model-based Clustering with Covariates
pp. 351
Other Topics
pp. 386
Bibliography
pp. 415
Author Index
pp. 423
Subject Index
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