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