Hello again to everyone!
These are the slides of the presentation of KohonAnts algorithm in ALIFE XI conference. ;)
It is an hybrid Ant Colony and Self-organizing Map algorithm for clustering and pattern classification.
A bit late, but I had some troubles with slideshare…
In any case…….Enjoy it. ;) :D
Here you can see an example of the evolution of the ants in the grid for the IRIS dataset:
Ants movement in the toroidal grid
Green class is quite similar to the other two classes, so it is difficult to get a fine cluster with it.
Thanks to Dave Oranchak. ;)
We have submitted, and at the same time uploaded to ArXiV, a paper on this new algorithm the masterminds of GeNeura + Carlos Fernandes and Vitorino Ramos (who are practically now full-privileges GeNeura members). You can download it from ArXiV; the title is KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification:
In this paper we introduce a new ant-based method that takes advantage of the cooperative self-organization of Ant Colony Systems to create a naturally inspired clustering and pattern recognition method. The approach considers each data item as an ant, which moves inside a grid changing the cells it goes through, in a fashion similar to Kohonen’s Self-Organizing Maps. The resulting algorithm is conceptually more simple, takes less free parameters than other ant-based clustering algorithms, and, after some parameter tuning, yields very good results on some benchmark problems.
We’ll be very soon doing the rounds with this algorithm with the usual conferences. It is new, it works surprisingly well, and, as usual, source code is available from your friendly Forja subversion repository (not updated, though).