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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gainanov, Damir (Damir N.) (Autor)
Formato: Electrónico eBook
Idioma:Alemán
Publicado: Berlin : De Gruyter, [2016]
Temas:
Deutsche Arbeitsgemeinschaft für Mustererkennung
Inequalities (Mathematics)
Graph theory.
Inégalités (Mathématiques)
MATHEMATICS > Geometry > General.
Graph theory
Lineares Ungleichungssystem
Graphentheorie
Kombinatorische Optimierung
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (viii, 147 pages)
Bibliografía:Includes bibliographical references (pages 133-140) and index.
ISBN:9783110480139
3110480131
9783110481068
3110481065

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