Prof Emma Hart E.Hart@napier.ac.uk
Professor
Prof Emma Hart E.Hart@napier.ac.uk
Professor
Peter Ross
Jonathan Timmis
Editor
Peter J. Bentley
Editor
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.
Hart, E., & Ross, P. (2002, September). Exploiting the analogy between immunology and sparse distributed memory. Presented at ICARIS 2002
Conference Name | ICARIS 2002 |
---|---|
Start Date | Sep 9, 2002 |
End Date | Sep 11, 2002 |
Publication Date | 2002 |
Deposit Date | Jun 4, 2010 |
Peer Reviewed | Peer Reviewed |
Pages | 59-67 |
Book Title | ICARIS 2002 : 1st International Conference on Artificial Immune Systems |
ISBN | 1902671325 |
Keywords | Immunology; sparse distributed computing; clustering; non-stationery data; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/3311 |
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