Get what you want from Internet using fuzzy k-means clustering algorithm

De-Sheng Zhu, Ming-Qin Zhou
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引用次数: 1

Abstract

This paper proposed a new method of getting what you want from Internet using fuzzy k-means clustering algorithm. It used search engine to obtain relevant documents content, then adopted efficient Fuzzy k-means clustering algorithm to cluster all the sentences. The summary sentences were extracted by turns from the clusters. Experimental result shows that the proposed method can improve the performance of summary.
使用模糊k-means聚类算法从互联网上得到你想要的
本文提出了一种利用模糊k均值聚类算法从网络中获取所需信息的新方法。利用搜索引擎获取相关文档内容,然后采用高效的模糊k-means聚类算法对所有句子进行聚类。从聚类中依次提取总结句。实验结果表明,该方法可以提高摘要的性能。
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