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

Category

Automatic control engineering

Store

Wordery

Brand

Taylor & francis ltd

Model-Based Clustering, Classification, and Density Estimation Using mclust in R : Taylor & Francis Ltd : 9781032234960 : 20 Apr 2023 : 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 procedures for estimating and choosing models. Key features of the book: An introduction to the model-based approach and the mclust R packageA detailed description of mclust and the underlying modeling strategiesAn extensive set of examples, color plots and figures along with the R code for reproducing themSup

145 GBP