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

Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Author :
Publisher : CRC Press
Total Pages : 269
Release :
ISBN-10 : 9781000868340
ISBN-13 : 1000868346
Rating : 4/5 (346 Downloads)

Book Synopsis Model-Based Clustering, Classification, and Density Estimation Using mclust in R by : Luca Scrucca

Download or read book Model-Based Clustering, Classification, and Density Estimation Using mclust in R written by Luca Scrucca and published by CRC Press. This book was released on 2023-04-20 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 package A detailed description of mclust and the underlying modeling strategies An extensive set of examples, color plots, and figures along with the R code for reproducing them Supported by a companion website, including the R code to reproduce the examples and figures presented in the book, errata, and other supplementary material Model-Based Clustering, Classification, and Density Estimation Using mclust in R is 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 mclust, 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.


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

Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Language: en
Pages: 269
Authors: Luca Scrucca
Categories: Mathematics
Type: BOOK - Published: 2023-04-20 - Publisher: CRC Press

GET EBOOK

Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture mo
Finite Mixture Models
Language: en
Pages: 419
Authors: Geoffrey McLachlan
Categories: Mathematics
Type: BOOK - Published: 2004-03-22 - Publisher: John Wiley & Sons

GET EBOOK

An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of model
Model-Based Clustering and Classification for Data Science
Language: en
Pages: 447
Authors: Charles Bouveyron
Categories: Mathematics
Type: BOOK - Published: 2019-07-25 - Publisher: Cambridge University Press

GET EBOOK

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Whi
Hands-On Machine Learning with R
Language: en
Pages: 373
Authors: Brad Boehmke
Categories: Business & Economics
Type: BOOK - Published: 2019-11-07 - Publisher: CRC Press

GET EBOOK

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning met
Spatial Data Mining
Language: en
Pages: 329
Authors: Deren Li
Categories: Computers
Type: BOOK - Published: 2016-03-23 - Publisher: Springer

GET EBOOK

· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second i