群体论证思想的可视化聚类

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2010-08-31 DOI:10.1109/WI-IAT.2010.280

Bin Luo, Xijin J. Tang

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引用次数: 2

摘要

本文讨论了嵌入在CorMap和iView中的可视化聚类方法，并对相关主题进行了思想分析。将K-means聚类、自动关联图(KJ法)和自组织图应用于CorMap分析，将图聚类算法应用于iView分析。报告了某著名科学论坛研讨会的可视化聚类结果，展示了各聚类的特点，并对其性能进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Visualized Clustering of Ideas for Group Argumentation

This paper addresses visualized clustering methods that are embedded in CorMap and iView analysis of ideas towards the concerned topic. K-means clustering, automatic affinity diagram (KJ method) and self-organizing map are applied to CorMap analysis and graph clustering algorithm is applied to iView analysis are introduced. We report the visualized clustering results of workshops of a famous scientific forum, show the features of each clustering and compare their performance.

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来源期刊

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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