Principal manifolds for data visualization and dimension reduction [electronic resource] /
Alexander N. Gorban ... [et al.] (eds.).
- Berlin ; New York : Springer, c2008.
- xxiii, 334 p. : ill.
- Lecture notes in computational science and engineering ; 58 .
- Lecture notes in computational science and engineering ; 58. .
"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.
Electronic reproduction. Palo Alto, Calif. : ebrary, 2009. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
Correlation (Statistics) Principal components analysis.