by Donald C . Wunsch (Editor), Alexander N . Gorban (Editor), Balázs Kégl (Editor), Andrei Zinovyev (Editor)
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.
Format: Paperback
Pages: 364
Edition: illustrated edition
Publisher: Springer
Published: 01 Oct 2007
ISBN 10: 3540737499
ISBN 13: 9783540737490