 Random Graphs for Statistical Pattern Recognition
ISBN: 978-0-471-22176-0
Hardcover
237 pages
February 2004
US $110.00
 Add to Cart
This price is valid for United States. Change location to view local pricing and availability. Other Available Formats: Adobe E-Book
|
An online version of this product is available through our subscription-based content service. Visit Wiley InterScience now |
Acknowledgments.
1. Preliminaries.
1.1 Graphs and Digraphs.
1.2 Statistical Pattern Recognition.
1.3 Statistical Issues.
1.4 Applications.
1.5 Further Reading.
2. Computational Geometry.
2.1 Introduction.
2.2 Voronoi Cells and Delaunay Triangularization.
2.3 Alpha Hulls.
2.4 Minimum Spanning Trees.
2.5 Further Reading.
3. Neighborhood Graphs.
3.1 Introduction.
3.2 Nearest-Neighbor Graphs.
3.3 k-Nearest Neighbor Graphs.
3.4 Relative Neighborhood Graphs.
3.5 Gabriel Graphs.
3.6 Application: Nearest Neighbor Prototypes.
3.7 Sphere of Influence Graphs.
3.8 Other Relatives.
3.9 Asymptotics.
3.10 Further Reading.
4. Class Cover Catch Digraphs.
4.1 Catch Digraphs.
4.2 Class Covers.
4.3 Dominating Sets.
4.4 Distributional Results for Cn,m-graphs.
4.5 Characterizations.
4.6 Scale Dimension.
4.7 (α,β) Graphs
4.8 CCCD Classification.
4.9 Homogeneous CCCDs.
4.10 Vector Quantization.
4.11 Random Walk Version.
4.12 Further Reading.
5. Cluster Catch Digraphs.
5.1 Basic Definitions.
5.2 Dominating Sets.
5.3 Connected Components.
5.4 Variable Metric Clustering.
6. Computational Methods.
6.1 Introduction.
6.2 Kd-Trees.
6.3 Class Cover Catch Digraphs.
6.4 Cluster Catch Digraphs.
6.5 Voroni Regions and Delaunay Triangularizations.
6.6 Further Reading.
References.
Author Index.
Subject Index.
Buy Both and Save 20%!
 |
+ |  |
Buy Random Graphs for Statistical Pattern Recognition
(List Price: US $110.00)
with Visual Statistics: Seeing Data with Dynamic Interactive Graphics (List Price = US $99.95) Cannot be combined with any other offers. Learn more. |
