KNN algorithm is a common and effective text categorization algorithm.
KNN算法是一种常用的效果较好的文本分类算法。
In this paper, a flexible KNN algorithm is developed with varying-K algorithm and weighting algorithm, which improves the effect of text categorization.
基于近邻序列的排序，提出了变k算法，并且结合效果较好权重算法，形成了柔性的KNN算法，提高了分类的效果。
The experiment result has proved that the method can improve the class's categorization effect with fewer training samples of KNN algorithm.
实验结果表明此方法有效改善了KNN算法对少数类分类效果。
The experiment result has proved that the method can improve the class's categorization effect with fewer training samples of KNN algorithm.
实验结果表明此方法有效改善了KNN算法对少数类分类效果。
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