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Nonlinear dimensionality reduction

Author: John A Lee; Michel Verleysen
Publisher: New York ; London : Springer, 2007.
Series: Information science and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Publication:Springer e-books
Summary:
"This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. Methods are compared with each other with the help of different illustrative examples." "The purpose of the book is to summarize clear facts and ideas  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Lee, John A. (John Aldo), 1976-
Nonlinear dimensionality reduction.
New York ; London : Springer, 2007
(OCoLC)77256575
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John A Lee; Michel Verleysen
ISBN: 9780387393513 038739351X 9780387393506 0387393501 6611108238 9786611108236
OCLC Number: 191448634
Language Note: English.
Description: 1 online resource (xiii, 308 pages) : illustrations (some color).
Contents: Front Matter; High-Dimensional Data; Characteristics of an Analysis Method; Estimation of the Intrinsic Dimension; Distance Preservation; Topology Preservation; Method comparisons; Conclusions; Back Matter.
Series Title: Information science and statistics.
Responsibility: John A. Lee, Michel Verleysen.

Abstract:

This book reviews well-known methods for reducing the dimensionality of numerical databases as well as recent developments in nonlinear dimensionality reduction. All are described from a unifying  Read more...

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From the reviews:"This beautifully produced book covers various innovative topics in nonlinear dimensionality reduction, such as Isomap, locally linear embedding, and Laplacian eigenmaps, etc. Those Read more...

 
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