关键词: 优化, 文本聚类, K平均

Abstract: Document clustering had been employed in information filtering,web page classification and so on.K-means is one of the widely used clustering techniques because of its simplicity and high scalability.Owing to its random selection of initial centers,unstable results were often got when using traditional K-means and its variants.Here a technique of optimization initial centers of clustering was proposed.Combined with incremental iteration,it can produce clustering results with high purity,low entropy as well as good stableness.

Key words: optimize, document clustering, K-means