UID:
edocfu_9958354675802883
Format:
1 online resource (158p.)
ISBN:
9783110481068
Content:
Data mining and pattern recognition are areas based on the mathematical constructions discussed in this monograph. By using combinatorial and graph theoretical techniques, it is shown how to tackle infeasible systems of linear inequalities. These are, in turn, building blocks of geometric decision rules for pattern recognition.
Note:
Frontmatter --
,
Preface --
,
Contents --
,
1. Pattern recognition, infeasible systems of linear inequalities, and graphs --
,
2. Complexes, (hyper)graphs, and inequality systems --
,
3. Polytopes, positive bases, and inequality systems --
,
4. Monotone Boolean functions, complexes, graphs, and inequality systems --
,
5. Inequality systems, committees, (hyper)graphs, and alternative covers --
,
Bibliography --
,
List of notation --
,
Index
,
In English.
Additional Edition:
ISBN 978-3-11-048013-9
Language:
English
DOI:
10.1515/9783110481068
URL:
https://doi.org/10.1515/9783110481068
