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Author Takane, Yoshio, author Professor Emeritus, McGill University, Montreal, Quebec, Canada, and Adjunct Professorship at University of Victoria, British Columbia, Canada

Title Constrained Principal Component Analysis and Related Techniques / Yoshio Takane. [O'Reilly electronic resource]

Edition 1st.
Publication Info. Chapman and Hall/CRC, 2016.
To Access:
Available on O'Reilly for Public Libraries
Bookmark link: https://library.naperville-lib.org:444/record=b3176476~S1
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Description 1 online resource (251 pages : 14 illustrations).
text file
Series Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Chapman & Hall/CRC Monographs on Statistics & Applied Probability.
Summary 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.
Subject Multivariate analysis.
Principal components analysis.
Multivariate Analysis
Principal Component Analysis
Analyse multivariée.
Analyse en composantes principales.
Multivariate analysis
Principal components analysis
Other Form: Print version: Takane, Yoshio. Constrained principal component analysis and related techniques. Boca Raton : CRC, Taylor & Francis Group, [2014] 9781466556669 (DLC) 2013039504 (OCoLC)778426559
ISBN 9781466556683 (PDF)
1466556684 (PDF)
Standard No. KE86343
9781466556683
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