Wang, Jianzhong
Geometric Structure of High-Dimensional Data and Dimensionality Reduction
1. Introduction
Jianzhong Wang
Part I. Data Geometry
2. Preliminary Calculus on Manifolds
Jianzhong Wang
3. Geometric Structure of High-Dimensional Data
Jianzhong Wang
4. Data Models and Structures of Kernels of DR
Jianzhong Wang
Part II. Linear Dimensionality Reduction
5. Principal Component Analysis
Jianzhong Wang
6. Classical Multidimensional Scaling
Jianzhong Wang
7. Random Projection
Jianzhong Wang
Part III. Nonlinear Dimensionality Reduction
8. Isomaps
Jianzhong Wang
9. Maximum Variance Unfolding
Jianzhong Wang
10. Locally Linear Embedding
Jianzhong Wang
11. Local Tangent Space Alignment
Jianzhong Wang
12. Laplacian Eigenmaps
Jianzhong Wang
13. Hessian Locally Linear Embedding
Jianzhong Wang
14. Diffusion Maps
Jianzhong Wang
15. Fast Algorithms for DR Approximation
Jianzhong Wang
Nyckelord: Computer Science, Data Mining and Knowledge Discovery, Probability and Statistics in Computer Science, Applications of Mathematics, Data Structures, Cryptology and Information Theory
- Författare
- Wang, Jianzhong
- Utgivare
- Springer
- Utgivningsår
- 2011
- Språk
- en
- Utgåva
- 1
- Sidantal
- 375 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9783642274978