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

Kelarev, Andrei and Ryan, Joe and Yearwood, John (2009) Cayley graphs as classifiers for data mining: the influence of asymmetries. Discrete Mathematics, 309 (17). pp. 5360-5369.

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Cayley graphs, endomorphism monoids, classification
Subjects: UNSPECIFIED
Faculty: UNSPECIFIED
Depositing User: Dr David Allingham
Date Deposited: 28 Sep 2012 12:05
Last Modified: 28 Sep 2012 12:05
URI: https://docserver.carma.newcastle.edu.au/id/eprint/1201

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