{"product_id":"model-based-clustering-classification-and-density-estimation-using-mclust-in-r-9781032234960","title":"Model-Based Clustering, Classification, and Density Estimation Using McLust in R","description":"\u003cp\u003e • Author(s): Luca Scrucca\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Regression Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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":"Hardcover","offer_id":45242392576151,"sku":"9781032234960","price":13406.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032234960.webp?v=1769232060","url":"https:\/\/atlanticbooks.com\/products\/model-based-clustering-classification-and-density-estimation-using-mclust-in-r-9781032234960","provider":"Atlantic Books","version":"1.0","type":"link"}