计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (5): 118-122.
• 数据库、信号与信息处理 • 上一篇 下一篇
阳小兰，钱 程，赵海廷
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YANG Xiaolan，QIAN Cheng，ZHAO Haiting
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摘要： 设计了一种在中英文环境下、能够对Nutch的搜索结果进行聚类处理的搜索结果聚类系统，该系统基于k-means算法和后缀树聚类算法，是一个由Nutch搜索引擎、文本分词、TF-IDF权重计算以及文本聚类等模块构成的搜索引擎结果文档聚类系统，并通过实验对k-means算法和后缀树算法进行了对比。
关键词: Nutch, 聚类, k-means, 后缀树
Abstract: A search results clustering system which can be able to search cluster results obtained from Nutch is designed both in English and Chinese language environment.This system is based on k-means algorithm and suffix tree clustering algorithm and is made of Nutch module，TF-IDF weight calculation module and text clustering module.The k-means algorithm and suffix tree clustering algorithm are contrasted based on the experiments.
Key words: Nutch, clustering, k-means, suffix tree
阳小兰，钱 程，赵海廷. 一种基于Nutch的网页聚类系统的设计与实现[J]. 计算机工程与应用, 2011, 47(5): 118-122.
YANG Xiaolan，QIAN Cheng，ZHAO Haiting. Design and implementation on Web clustering system based on Nutch[J]. Computer Engineering and Applications, 2011, 47(5): 118-122.
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