Principal Manifolds for Data Visualization and Dimension Reduction: 58 (Lecture Notes in Computational Science and Engineering) - Softcover

Softcover

ISBN 10: 3540737499 ISBN 13: 9783540737490

Verlag: Springer Berlin Heidelberg, 2010

Inhaltsangabe

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. Presentation of algorithms is supplemented by case studies. The volume ends with a tutorial PCA deciphers genome.

Über diesen Titel

Reseña del 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. Presentation of algorithms is supplemented by case studies. The volume ends with a tutorial PCA deciphers genome.

Details zur Ausgabe

• Verlag: Springer Berlin Heidelberg
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 3540737499
• ISBN 13: 9783540737490
• Einband: Tapa blanda
• Anzahl der Seiten: 364
• Herausgeber: Gordon Alexander N.
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland