{"product_id":"model-based-clustering-classification-and-density-estimation-using-mclust-in-r-paperback-softback","title":"Model-Based Clustering, Classification, and Density Estimation Using mclust in R - Paperback \/ softback","description":"\u003cp\u003eModel-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 \u003cb\u003emclust\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey features of the book:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eAn introduction to the model-based approach and the \u003cb\u003emclust\u003c\/b\u003e R package\u003c\/li\u003e \u003cli\u003eA detailed description of \u003cstrong\u003emclust\u003c\/strong\u003e and the underlying modeling strategies\u003c\/li\u003e \u003cli\u003eAn extensive set of examples, color plots, and figures along with the R code for reproducing them\u003c\/li\u003e \u003cli\u003eSupported by a companion website, including the R code to reproduce the examples and figures presented in the book, errata, and other supplementary material\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eModel-Based Clustering, Classification, and Density Estimation Using mclust in R \u003c\/strong\u003eis accessible to quantitatively trained students and researchers with a basic understanding of statistical methods, including inference and computing. In addition to serving as a reference manual for \u003cb\u003emclust\u003c\/b\u003e, the book will be particularly useful to those wishing to employ these model-based techniques in research or applications in statistics, data science, clinical research, social science, and many other disciplines.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45566349869294,"sku":"9781032234953","price":92.8,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/model-based-clustering-classification-and-density-estimation-using-mclust-in-r-paperback-softback","provider":"Book Land AU","version":"1.0","type":"link"}