Branch-and-Bound Applications in Combinatorial Data Analysis

1. Introduction

2. An Introduction to Branch-and-Bound Methods for Partitioning

3. Minimum-Diameter Partitioning

4. Minimum Within-Cluster Sums of Dissimilarities Partitioning

5. Minimum Within-Cluster Sums of Squares Partitioning

6. Multiobjective Partitioning

7. Introduction to the Branch-and-Bound Paradigm for Seriation

8. Seriation—Maximization of a Dominance Index

9. Seriation—Maximization of Gradient Indices

10. Seriation—Unidimensional Scaling

11. Seriation—Multiobjective Seriation

12. Introduction to Branch-and-Bound Methods for Variable Selection

13. Variable Selection for Cluster Analysis

14. Variable Selection for Regression Analysis

DRM-restrictions

Printing: not available
Clipboard copying: not available

Nyckelord: MATHEMATICS / Probability & Statistics / General MAT029000