Principal manifolds for data visualization and dimension reduction

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.


Electronic books.

QA278.5 / .P75 2008eb