基于关联规则的k -均值聚类算法研究

2010 International Conference on Challenges in Environmental Science and Computer Engineering Pub Date : 2010-03-06 DOI:10.1109/CESCE.2010.26

Wang Jun, Ouyang Zheng-zheng

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引用次数: 3

摘要

随着网络资源的不断扩充和新老信息的快速变化，传统的信息检索方式已难以适应海量电子数据管理的需要。如何方便、准确地找到自己想要的信息，提高搜索引擎的效率，是一个非常重要的方面。

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The Research of K-means Clustering Algorithm Based on Association Rules

With the continued expansion of network resources and the rapid change of old and new information, the traditional information retrieval is difficult to adapt to the need of management of mass electronic data. It is a very important aspect of how to locate the information you want conveniently and accurately and improve the efficiency of search engines.

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来源期刊

2010 International Conference on Challenges in Environmental Science and Computer Engineering

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