Model-Based Clustering and Classification for Data Science

Model-Based Clustering and Classification for Data Science

With Applications in R

Celeux, Gilles; Bouveyron, Charles; Raftery, Adrian E.; Murphy, T. Brendan

Cambridge University Press

07/2019

446

Dura

Inglês

9781108494205

15 a 20 dias

1100

Descrição não disponível.
1. Introduction; 2. Model-based clustering: basic ideas; 3. Dealing with difficulties; 4. Model-based classification; 5. Semi-supervised clustering and classification; 6. Discrete data clustering; 7. Variable selection; 8. High-dimensional data; 9. Non-Gaussian model-based clustering; 10. Network data; 11. Model-based clustering with covariates; 12. Other topics; List of R packages; Bibliography; Index.