Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn

Author / Organization:
Graph Theory Published 2016 Verification pending

Overview & Synopsis

This book 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 building blocks of geometric decision rules for pattern recognition.

Indexed from repository: FreeComputerBooks.com (freecomputerbooks.com)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn
Author / Organization Damir Gainanov
Subject & Discipline Graph Theory, Combinatorics, Data Analysis/Mining, Algorithms and Data Structures, Discrete and Finite Mathematics
Categories Graph Theory
Publication Year 2016
ISBN 3110480131
License / Rights Creative Commons License (CC)
Resource Verification Verification pending
Original Host Website FreeComputerBooks.com (freecomputerbooks.com)
File Format application/pdf (Portable Document Format)
Language ENGLISH
Catalog ID DOC-103316
Original Source Link Visit Source Page on freecomputerbooks.com »
Commercial / Print Edition

Prefer a Physical Book or Kindle Edition?

Graphs for Pattern Recognition: Infeasible Systems of Linear Inequalitiesn • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.