本文利用K最近邻方法的思想，提出了一种基于K最近邻的关键词自动抽取方法。

In this paper, we proposed an automatic keyword extraction method based on KNN method.

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众所周知，K最近邻方法作为机器学习领域的一个经典的方法，在很多领域都有出色的表现。

As we all know, KNN method is a classic method in machine learning field and is also well used in many other fields.

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而支撑点仅占全部训练样本的一部分，所以相比最近邻方法具有较小运算量和存储量的优点。

Comparing with the nearest neighbor method, the presented method needs less cost and memory space as the representative samples are only a little part of the training set.

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