Tipsa dina vänner om produkten:
Principal Manifolds for Data Visualization and Dimension Reduction - Lecture Notes in Computational Science and Engineering Alexander N Gorban 2008 edition
Pris
SEK 2.489
Beställningsvara
Förväntad leverans 16 - 26 okt
Få avisering om nya utgåvor med Alexander N Gorban
Lägg till din iMusic-önskelista
eller
Principal Manifolds for Data Visualization and Dimension Reduction - Lecture Notes in Computational Science and Engineering
Alexander N Gorban
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.
364 pages, 68 black & white illustrations, 14 colour illustrations, 22 black & white tables, biograp
| Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 1 oktober 2007 |
| ISBN13 | 9783540737490 |
| Utgivare | Springer-Verlag Berlin and Heidelberg Gm |
| Antal sidor | 340 |
| Mått | 155 × 235 × 13 mm · 517 g |
| Språk | Tyska |
| Redaktör | Gorban, Alexander N. |
| Redaktör | Kegl, Balazs |
| Redaktör | Wunsch, Donald C. |
| Redaktör | Zinovyev, Andrei |