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Nonlinear Dimensionality Reduction
Buch von Michel Verleysen (u. a.)
Sprache: Englisch

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Beschreibung
This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well as recent developments in nonlinear dimensionality reduction. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.
This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well as recent developments in nonlinear dimensionality reduction. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.
Zusammenfassung
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.
Inhaltsverzeichnis
High-Dimensional Data.- Characteristics of an Analysis Method.- Estimation of the Intrinsic Dimension.- Distance Preservation.- Topology Preservation.- Method comparisons.- Conclusions.
Details
Erscheinungsjahr: 2007
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xvii
309 S.
ISBN-13: 9780387393506
ISBN-10: 0387393501
Sprache: Englisch
Herstellernummer: 11417989
Einband: Gebunden
Autor: Verleysen, Michel
Lee, John A.
Hersteller: Springer New York
Springer US, New York, N.Y.
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 24 mm
Von/Mit: Michel Verleysen (u. a.)
Erscheinungsdatum: 05.12.2007
Gewicht: 0,654 kg
Artikel-ID: 102086574
Zusammenfassung
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.
Inhaltsverzeichnis
High-Dimensional Data.- Characteristics of an Analysis Method.- Estimation of the Intrinsic Dimension.- Distance Preservation.- Topology Preservation.- Method comparisons.- Conclusions.
Details
Erscheinungsjahr: 2007
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xvii
309 S.
ISBN-13: 9780387393506
ISBN-10: 0387393501
Sprache: Englisch
Herstellernummer: 11417989
Einband: Gebunden
Autor: Verleysen, Michel
Lee, John A.
Hersteller: Springer New York
Springer US, New York, N.Y.
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 24 mm
Von/Mit: Michel Verleysen (u. a.)
Erscheinungsdatum: 05.12.2007
Gewicht: 0,654 kg
Artikel-ID: 102086574
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