Analysis of multivariate and high-dimensional data [E-Book] / Inge Koch, University of Adelaide, Australia.
Koch, Inge, (author)
Cambridge : Cambridge University Press, 2014
1 online resource (xxv, 504 pages)
Cambridge series on statistical and probabilistic mathematics ; 32
Full Text
Table of Contents:
  • 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.