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- 2013013351 contributor B12720215.
- 2013013351 date "2013".
- 2013013351 description "Includes bibliographical references and index.".
- 2013013351 description "Machine generated contents note: Part I. Classical Methods: 1. Multidimensional data; 2. Principal component analysis; 3. Canonical correlation analysis; 4. Discriminant analysis; Part II. Factors and Groupings: 5. Norms, proximities, features, and dualities; 6. Cluster analysis; 7. Factor analysis; 8. Multidimensional scaling; Part III. Non-Gaussian Analysis: 9. Towards non-Gaussianity; 10. Independent component analysis; 11. Projection pursuit; 12. Kernel and more independent component methods; 13. Feature selection and principal component analysis revisited; Index.".
- 2013013351 extent "pages cm".
- 2013013351 identifier "9780521887939 (hardback)".
- 2013013351 identifier 9780521887939.jpg.
- 2013013351 issued "2013".
- 2013013351 language "eng".
- 2013013351 subject "519.5/35 23".
- 2013013351 subject "Big data.".
- 2013013351 subject "Multivariate analysis.".
- 2013013351 subject "QA278 .K5935 2013".
- 2013013351 tableOfContents "Machine generated contents note: Part I. Classical Methods: 1. Multidimensional data; 2. Principal component analysis; 3. Canonical correlation analysis; 4. Discriminant analysis; Part II. Factors and Groupings: 5. Norms, proximities, features, and dualities; 6. Cluster analysis; 7. Factor analysis; 8. Multidimensional scaling; Part III. Non-Gaussian Analysis: 9. Towards non-Gaussianity; 10. Independent component analysis; 11. Projection pursuit; 12. Kernel and more independent component methods; 13. Feature selection and principal component analysis revisited; Index.".
- 2013013351 title "Analysis of multivariate and high-dimensional data : theory and practice / Inge Koch.".
- 2013013351 type "text".
