Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Dynamic topology representing networks
Neural Networks
Self-Organizing Maps
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The growing self-organizing networks are useful tools suitable for data analysis in which networks learn the topology of the high-dimensional data by inserting/deleting neurons. However, these methods cannot represent the high-dimensional clusters on the lower-dimensional intuitive space. In this paper, we proposed the visualization method by ant clustering to construct the two-dimensional feature map for the growing self-organizing networks.