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In this paper we present the results of unstructured data clustering in thiscase a textual data from Reuters 21578 corpus with a new biomimetic approachusing immune system. Before experimenting our immune system, we digitalizedtextual data by the n-grams approach. The novelty lies on hybridization ofn-grams and immune systems for clustering. The experimental results show thatthe recommended ideas are promising and prove that this method can solve thetext clustering problem.

A Biomimetic Approach Based on Immune Systems for Classification of Unstructured Data