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Analysis of multivariate and high-dimensional data/ Inge Koch

By: Material type: TextTextSeries: Cambridge Seris in Statistical and Probabilistic MathematicsPublication details: New York: CUP, 2014Description: xxv, 504 pages, charts, 26 cmISBN:
  • 9780521887939
Subject(s): DDC classification:
  • SA.07 K75
Contents:
Classical methods -- Principal component analysis -- Cannonical correlation analysis -- Discriminant analysis -- Norms proximities features and dualities -- Cluster analysis -- Factor analysis -- Multidimensional scaling -- Towards non-gaussianity -- Independent component analysis -- Projection pursuit -- kernel and more independent component methods -- Feature selection and principal component analysis revisited
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Includes bibliography and index

Classical methods -- Principal component analysis -- Cannonical correlation analysis -- Discriminant analysis -- Norms proximities features and dualities -- Cluster analysis -- Factor analysis -- Multidimensional scaling -- Towards non-gaussianity -- Independent component analysis -- Projection pursuit -- kernel and more independent component methods -- Feature selection and principal component analysis revisited

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