Cayley graphs as classifiers for data mining: The influence of asymmetries
journal contribution
posted on 2009-09-06, 00:00 authored by A Kelarev, J Ryan, John YearwoodJohn YearwoodThe endomorphism monoids of graphs have been actively investigated. They are convenient tools expressing asymmetries of the graphs. One of the most important classes of graphs considered in this framework is that of Cayley graphs. Our paper proposes a new method of using Cayley graphs for classification of data. We give a survey of recent results devoted to the Cayley graphs also involving their endomorphism monoids. © 2008 Elsevier B.V. All rights reserved.
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Journal
Discrete MathematicsVolume
309Pagination
5360-5369Publisher DOI
Open access
- Yes
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0012-365XLanguage
enPublication classification
CN.1 Other journal articleIssue
17Publisher
Elsevier BVUsage metrics
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