Beschreibung:
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.
1. Introduction. 2. Finite Mixture Models. 3. Model-Based Clustering. 4. Mixture-based Classification. 5. Model-based Density Estimation. 6. Visualizing Gaussian Mixture Models. 7. Miscellanea.