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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Bibliographische Detailangaben
1. Verfasser: Gainanov, Damir (auth)
Format: Elektronisch Buchkapitel
Sprache:Englisch
Veröffentlicht: De Gruyter 2016
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Beschreibung
Zusammenfassung: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.
Beschreibung:1 electronic resource (148 p.)
ISBN:9783110481068
DOI:10.1515/9783110481068
Zugangseinschränkungen:Open Access