Principal Manifolds for Data Visualization and Dimension Reduction - Lecture Notes in Computational Science and Engineering - Alexander N Gorban - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783540737490 - October 1, 2007
In case cover and title do not match, the title is correct

Alexander N Gorban
Principal Manifolds for Data Visualization and Dimension Reduction - Lecture Notes in Computational Science and Engineering 2008 edition

Price
HK$ 1,895
excl. VAT

Ordered from remote warehouse

Expected to be ready for shipping Jun 16 - 22

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described.

364 pages, 68 black & white illustrations, 14 colour illustrations, 22 black & white tables, biograp

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 1, 2007
ISBN13 9783540737490
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 340
Dimensions 155 × 235 × 13 mm   ·   517 g
Language German  
Editor Gorban, Alexander N.
Editor Kegl, Balazs
Editor Wunsch, Donald C.
Editor Zinovyev, Andrei

More by Alexander N Gorban

Show all

Mere med samme udgiver

See all of Alexander N Gorban ( e.g. Paperback Book and Hardcover Book )