9783540737490 - principal manifolds for data visualization and dimension reduction: 58 (11 risultati)
Principal Manifolds for Data Visualization and Dimension Reduction (Lecture Notes in Computational Science and Engineering, 58)
Gorban, Alexander N.; Kégl, Balázs; Wunsch, Donald C.; Zinovyev, Andrei
Lingua: Inglese
Editore: Springer (edition 2008) 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: BooksRun, Philadelphia, U.S.A.BooksRun
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EUR 186,61
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Paperback. Condizione: Very Good. 2008. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Springer 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: Books Puddle, New York, U.S.A.Books Puddle
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EUR 211,27
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Condizione: New. pp. 364.
Lingua: Inglese
Editore: Springer 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 217,50
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Condizione: New. pp. 364 Illus.
Lingua: Inglese
Editore: Springer 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: Biblios, frankfurt am main, GermaniaBiblios
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EUR 218,77
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Condizione: New. pp. 364.
Lingua: Inglese
Editore: Springer 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 249,83
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
- Brossura
Da: Mispah books, Redhill, Regno UnitoMispah books
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EUR 284,97
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, Springer Spektrum 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 246,09
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (…MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. 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 as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data. The volume ends with a tutorial 'PCA and K-meansdecipher genome'. The book is meant to be useful for practitioners in applied data analysis in life sciences, engineering, physics and chemistry; it will also be valuable to PhD students and researchers in computer sciences, applied mathematics and statistics.
Lingua: Inglese
Editore: Springer Verlag 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 341,30
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Paperback. Condizione: Brand New. 1st edition. 334 pages. 9.00x6.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Springer Berlin Heidelberg 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 206,40
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are describedPresentation of algorithms is supplemented by case studiesThe book starts with the quote of t…he classical Pea.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Okt 2007 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 246,09
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimen…sional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. 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 as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data. The volume ends with a tutorial 'PCA and K-meansdecipher genome'. The book is meant to be useful for practitioners in applied data analysis in life sciences, engineering, physics and chemistry; it will also be valuable to PhD students and researchers in computer sciences, applied mathematics and statistics. 364 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Spektrum Okt 2007 2007
Serie: Lecture Notes in Computational Science and Engineering, Libro 35 di 111. Libro 35 di 111 - Lecture Notes in Computational Science and Engineering
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 246,09
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimension…al Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. 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 as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data. The volume ends with a tutorial 'PCA and K-means decipher genome'. The book is meant to be useful for practitioners in applied data analysis in life sciences, engineering, physics and chemistry; it will also be valuable to PhD students and researchers in computer sciences, applied mathematics and statistics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.
