Model-Based Clustering, Classification, and Density Estimation Using mclust in R (Chapman & Hall/CRC The R Series)

Scrucca, Luca; Fraley, Chris; Murphy, T. Brendan; Raftery, Adrian E.

ISBN 10: 1032234962 / ISBN 13: 9781032234960

Published by Chapman and Hall/CRC, 2023

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Seller Inventory # I-9781032234960

Bibliographic Details

• Title: Model-Based Clustering, Classification, and Density Estimation Using mclust in R (Chapman & Hall/CRC The R Series)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2023
• Language: English
• ISBN 10: 1032234962
• ISBN 13: 9781032234960
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. The mclust package for the statistical environment R is a widely adopted platform implementing these model-based strategies. The package includes both summary and visual functionality, complementing...

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