Abstract: Projection pursuit is used to find the projection direction which reflect the intrinsic structure and features of the originaldata.So the high dimensional data can be studied and analyzed through lower dimensional space.For the curse of dimensionality in text classification,the multi-dimensional data is turned into low-dimensional space by using projection pursuitmodel.The nature of the problem is that it is difficult to determine thedirection of projection pursuit and the calculation is not easy,especially whenthe projection direction has more indicators.This paper proposed the projection pursuit model using immune evolution algorithm,which can effectively solve theoptimization problem of the projection direction.In the experiment,it's appliedto text classification including the Reuters-21578 document sets and FuDan documentsets.The experimental results show that this method can not only solve the curseof dimensionality in text classification,but also obtain a satisfactory classification results.

Key words: immune evolution algorithm, projection pursuit, projection direction, text classification