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
Format: eBook
Language:English
Published: De Gruyter 2016
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:1 electronic resource (148 p.)
ISBN:9783110481068