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Exploiting the analogy between immunology and sparse distributed memory.

Hart, Emma and Ross, Peter (2002) Exploiting the analogy between immunology and sparse distributed memory. In: 1st International Conference on Artificial Immune Systems. University of Kent at Canterbury Printing Unit, pp. 59-67. ISBN 1-902671-32-5

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Abstract/Description

The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for clustering non-stationary data based on a combination of salient features from the two metaphors. The resulting system embodies the important principles of both types of memory; it is self-organising, robust, scalable, dynamic and can perform anomaly detection. The model is rst applied to clustering static datasets, and is shown to outperform two other systems based on immunological principles. It is then applied to clustering non-stationary data-sets with promising results.

Item Type: Book Section
ISBN: 1-902671-32-5
Uncontrolled Keywords: Immunology; sparse distributed computing; clustering; non-stationery data;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3311
Depositing User: Computing Research
Date Deposited: 04 Jun 2010 11:57
Last Modified: 27 Jul 2011 16:53
URI: http://researchrepository.napier.ac.uk/id/eprint/3311

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