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ABSTRACT
We present in this work a new model (named AntTree) based on artificial ants for document hierarchical clustering. This model is inspired from the self-assembly behavior of real ants. We have simulated this behavior to build a hierarchical tree-structured partitioning of a set of documents, according to the similarities between these documents. We have successfully compared our results to those obtained by ascending hierarchical clustering. REFERENCES
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