ing），分类和聚类（Classification and clustering），机器人（Robotics），文本处理（Text Processing），web信息抽取（Web Informatio
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由此提出一种基于分类和聚类相结合的个性化信息检索方法。
A kind of personalized search method based on classification and clustering technology is introduced in this paper.
本文主要研究适合于大规模科学数据挖掘的分类和聚类的理论和应用。
The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large-scale science data mining.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
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