AntTree: web document clustering using artificial ants
Hanene Azzag, Christiane Guinot, Gilles Venturini · 2004
We present in this work a new algorithm for document hierarchical clustering and automatic generation of portals sites. This model is inspired from the self-assembling behavior observed in real ants where ants progressively get attached to an existing support and successively to other attached ants. The artificial ants that we have defined will similarly build a tree. Each ant represents one document. The way ants move and build this tree depends on the similarity between the documents. We have tested our model on sets of web pages extracted from internet and we have successfully compared our results to those obtained by the AHC (Ascending Hierarchical Clustering).