Artificial immune systems---today and tomorrow
Natural Computing: an international journal
Theoretical advances in artificial immune systems
Theoretical Computer Science
A Neuro-Immune Inspired Robust Real Time Visual Tracking System
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Adaptive radius immune algorithm for data clustering
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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In this paper, we propose an algorithm for cluster analysis inspired by the lymphocyte-cytokine network in the immune system. Our algorithm attempts to optimally represent a large data set by its principle subset whilst maximising the data kernel density distribution. Experiments show that the output data set created by our algorithm effectively represents the original input data set, according to the Kullback-Leibler divergence metric. We compare the performance of our approach with the well-known aiNet algorithm and find our approach provides a significant improvement on the representation of the final data set.