Graphs for Pattern Recognition.

This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gainanov, Damir
Formato: Electrónico eBook
Idioma:Inglés
Publicado: 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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