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Model-Based Clustering, Classification, and Density Estimation Using mclust in R

Language EnglishEnglish
Book Hardback
Book Model-Based Clustering, Classification, and Density Estimation Using mclust in R Luca Scrucca
Libristo code: 42684610
Publishers Taylor & Francis Ltd, April 2023
Model-based clustering and classification methods provide a systematic statistical approach to clust... Full description
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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 methods to be understood within the context of statistical modeling.

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About the book

Full name Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Author Luca Scrucca, Chris Fraley, T. Brendan Murphy, Raftery Adrian E.
Language English
Binding Book - Hardback
Date of issue 2023
Number of pages 288
EAN 9781032234960
Libristo code 42684610
Publishers Taylor & Francis Ltd
Weight 574
Dimensions 156 x 234

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Mathematics & Science > Mathematics > Probability & statistics
Technology, Engineering, Agriculture > Environmental science, engineering & technology
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