Model-Based Clustering, Classification, And Density Estimation Using Mclust In R (Chapman & Hall/Crc The R Series)

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.

• | Author: Luca Scrucca, Chris Fraley, T. Brendan Murphy, Raftery Adrian E.
• | Publisher: Chapman And Hall/Crc
• | Publication Date: Apr 20, 2023
• | Number of Pages: 242 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1032234954
• | ISBN-13: 9781032234953