A Biomimetic Approach Based on Immune Systems for Classification of
  Unstructured Data
  In this paper we present the results of unstructured data clustering in this
case a textual data from Reuters 21578 corpus with a new biomimetic approach
using immune system. Before experimenting our immune system, we digitalized
textual data by the n-grams approach. The novelty lies on hybridization of
n-grams and immune systems for clustering. The experimental results show that
the recommended ideas are promising and prove that this method can solve the
text clustering problem.
