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Graphs for pattern recognition : infeasible systems of linear inequalities /

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 r...

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Bibliographic Details
Main Author: Gainanov, Damir (Damir N.) (Author)
Corporate Author: Walter de Gruyter & Co
Format: eBook
Language:German
Published: Berlin : De Gruyter, [2016]
Subjects:
Deutsche Arbeitsgemeinschaft für Mustererkennung
Inequalities (Mathematics)
Graph theory.
Inégalités (Mathématiques)
MATHEMATICS > Geometry > General.
Graph theory
Lineares Ungleichungssystem
Graphentheorie
Kombinatorische Optimierung
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (viii, 147 pages)
Bibliography:Includes bibliographical references (pages 133-140) and index.
ISBN:9783110480139
3110480131
9783110481068
3110481065