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Cayley graphs as classifiers for data mining: The influence of asymmetries

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journal contribution
posted on 2009-09-06, 00:00 authored by A Kelarev, J Ryan, John YearwoodJohn Yearwood
The 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.

History

Journal

Discrete Mathematics

Volume

309

Pagination

5360-5369

Open access

  • Yes

ISSN

0012-365X

Language

en

Publication classification

CN.1 Other journal article

Issue

17

Publisher

Elsevier BV

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