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

Book Details

Format Hardback
ISBN-10 1032234962
ISBN-13 9781032234960
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 20th, 2023
Print length 242 Pages
Weight 574 grams
Dimensions 16.10 x 24.20 x 1.80 cms
KSh 30,950.00
Currently unavailable 0 in stock

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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.

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.


Get Model-Based Clustering, Classification, and Density Estimation Using mclust in R by Adrian E. Raftery, Chris Fraley at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has 242 pages.

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