Classification and multivariate analysis for complex data structures
Data mining Multivariate analysis MATHEMATICS / Probability & Statistics / Multivariate Analysis sähkökirjat
Springer-Verlag
2011
EISBN 9783642133121
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.
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.
