DMCA
Geometrical insights into the dendritic cell algorithm (2009)
| Venue: | In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO |
| Citations: | 5 - 1 self |
BibTeX
@INPROCEEDINGS{Stibor09geometricalinsights,
author = {Thomas Stibor and Technische Universität and Robert Oates and Graham Kendall and Jonathan M. Garibaldi},
title = {Geometrical insights into the dendritic cell algorithm},
booktitle = {In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO},
year = {2009},
pages = {1275--1282}
}
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Abstract
This work examines the dendritic cell algorithm (DCA) from a mathematical perspective. By representing the signal pro-cessing phase of the algorithm using the dot product it is shown that the signal processing element of the DCA is ac-tually a collection of linear classifiers. It is further shown that the decision boundaries of these classifiers have the po-tentially serious drawback of being parallel, severely limiting the applications for which the existing algorithm can be po-tentially used on. These ideas are further explored using artificially generated data and a novel visualisation tech-nique that allows an entire population of dendritic cells to be inspected as a single classifier. The paper concludes that the applicability of the DCA to more complex problems is highly limited.
