, Alan Izenman
Modern Multivariate Statistical Techniques
2. Introduction and Preview
3. Introduction and Preview
4. Random Vectors and Matrices
5. Nonparametric Density Estimation
6. Model Assessment and Selection in Multiple Regression.
7. Multivariate Regression
8. Linear Dimensionality Reduction
9. Linear Discriminant Analysis
10. Recursive Partitioning and Tree-Based Methods
11. Artificial Neural Networks
12. Support Vector Machines
13. Cluster Analysis
14. Multidimensional Scaling and Distance Geometry.
15. Committee Machines
16. Latent Variable Models for Blind Source Separation
17. Nonlinear Dimensionality Reduction and Manifold Learning.
18. Correspondence Analysis
Avainsanat: Statistics, Signal, Image and Speech Processing, Computational Biology/Bioinformatics, Pattern Recognition, Data Mining and Knowledge Discovery, Probability and Statistics in Computer Science, Statistical Theory and Methods
- Tekijä(t)
- , Alan Izenman
- Julkaisija
- Springer
- Julkaisuvuosi
- 2008
- Kieli
- en
- Painos
- 1
- Sarja
- Springer Texts in Statistics
- Sivumäärä
- 24 sivua
- Kategoria
- Eksaktit luonnontieteet
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9780387781891
