Principal manifolds for data visualization and dimension reduction / Alexander N. Gorban, ... [et al.], editors.
Contributor(s): Gorbanʹ, A. N. (Aleksandr Nikolaevich).
Series: Lecture notes in computational science and engineering ; 58. Publisher: Berlin ; New York : Springer, c2008Description: xxiii, 334 p. : ill. (some col.) ; 24 cm.ISBN: 9783540737490; 3540737499.Subject(s): Principal components analysis | Statistics -- Graphic methodsDDC classification: 001.4/226028566 Online resources: Full-text hereItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Book | Skoltech library Shelves | QA278.5 .P75 2008 (Browse shelf) | Available | 2000006981 |
Total holds: 0
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QA278.2 .W35 2013 Bayesian and frequentist regression methods / | QA278.5 .J65 2002 Principal component analysis / | QA278.5 .P35 2015 Multiple factor analysis by example using R / | QA278.5 .P75 2008 Principal manifolds for data visualization and dimension reduction / | QA278.8 .I59 2011 Inverse problems and high-dimensional estimation : | QA278.8 .M1 Bayesian nonparametrics data analysis / | QA278.8 .T79 2009 Introduction to nonparametric estimation / |
"This book is a collection of reviews and original papers presented partially at the workshop 'Principal manifolds for data cartography and dimension reduction' (Leicester, August 24-26, 2006)."--P. X.
Includes bibliographical references and index.
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