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
Tabla de Contenidos:
  • 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.

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