Geometric Structure of High-Dimensional Data and Dimensionality Reduction
"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear...
| Main Author: | Wang, Jianzhong (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Nonlinear Dimensionality Reduction
Published: (2007) -
Advances in Knowledge Discovery and Data Mining 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007. Proceedings /
Published: (2007) -
Advances in Data Analysis Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 /
Published: (2007) -
Demand-Driven Associative Classification
by: Veloso, Adriano, et al.
Published: (2011) -
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007. Proceedings /
Published: (2007)