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Constrained Principal Component Analysis and Related Techniques

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Title: Constrained Principal Component Analysis and Related Techniques
Description: In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha
Authors: Yoshio Takane
Resource Type: eBook.
Subjects: Principal components analysis, Multivariate analysis, MATHEMATICS / Probability & Statistics / General
Categories: MATHEMATICS / Probability & Statistics / Multivariate Analysis, MATHEMATICS / Probability & Statistics / Regression Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 661019
RelevancyScore: 1057
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1057.36352539063
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  Data: Constrained Principal Component Analysis and Related Techniques
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  Data: In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha
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  Data: <searchLink fieldCode="AR" term="%22Yoshio+Takane%22">Yoshio Takane</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 519.535
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Principal components analysis
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: MATHEMATICS / Probability & Statistics / General
        Type: general
    Titles:
      – TitleFull: Constrained Principal Component Analysis and Related Techniques
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Yoshio Takane
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          Name:
            NameFull: Yoshio Takane
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781466556669
            – Type: isbn-print
              Value: 9780367576288
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              Value: 9781466556683
            – Type: isbn-electronic
              Value: 9780429188374
            – Type: isbn-electronic
              Value: 9781040079454
          Numbering:
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              Value: 00129
          Titles:
            – TitleFull: Constrained Principal Component Analysis and Related Techniques
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