KNN is a simple

valid and non-parameter method often applied in categorization.Under the condition that the samples distribution is uneven

we first put forward an improved weighting way in feature reduction;then we improve the KNN basing on density in automatic text categorization.This way reduces the impact from the uneven distribution.we have a test about text categorization.The result shows that these methods have a better precision than the common KNN;similarity