Web Document Ensemble Clustering Based on Adaptive Resonance Theory
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摘要: 提出了基于自适应谐振理论的Web文档聚类集成方法.该方法先用蚁群算法对Web文档进行聚类,再用ART神经网络对聚类结果集成.实验结果表明,集成后的聚类综合质量高于集成前的聚类综合质量.Abstract: A method for Web document ensemble clustering based on adaptive resonance theory(ART) was proposed.It consists of two steps: clusters are obtained with an ant-based clustering algorithm,and the clustering results are combined as the final target by an ART neural network.Experiments show that the overall clustering performance is improved after combination.
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Key words:
- ART /
- ensemble clustering /
- ant-based clustering algorithm /
- Web document
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