Buch, Englisch, 733 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1429 g
Reihe: Springer Texts in Statistics
Regression, Classification, and Manifold Learning
Buch, Englisch, 733 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1429 g
Reihe: Springer Texts in Statistics
ISBN: 978-0-387-78188-4
Verlag: Springer
This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
and Preview.- Data and Databases.- Random Vectors and Matrices.- Nonparametric Density Estimation.- Model Assessment and Selection in Multiple Regression.- Multivariate Regression.- Linear Dimensionality Reduction.- Linear Discriminant Analysis.- Recursive Partitioning and Tree-Based Methods.- Artificial Neural Networks.- Support Vector Machines.- Cluster Analysis.- Multidimensional Scaling and Distance Geometry.- Committee Machines.- Latent Variable Models for Blind Source Separation.- Nonlinear Dimensionality Reduction and Manifold Learning.- Correspondence Analysis.
