Table of Contents

pt. 1. Key notes.
pt. 2. Classification and discrimination.
pt. 3. Data mining.
pt. 4. Robustness and classification.
pt. 5. Categorical data and latent class approach.
pt. 6. Latent variables and related methods.
pt. 7. Symbolic, multivalued and conceptual data analysis.
pt. 8. Spatial, temporal, streaming and functional data analysis.
pt. 9. Bio and health science.