Document clustering for electronic meetings: an experimental comparison of two techniques

作者：Roussinov DG^*; Chen HC

来源：Decision Support Systems, 1999, 27(1-2): 67-79.

DOI：10.1016/S0167-9236(99)00037-8

• group decision support systems
• text document clustering
• empirical study
• self-organizing maps
• neural networks
• cluster analysis

In this article, we report our implementation and comparison of two text clustering techniques. One is based on Ward';s clustering and the other on Kohonen';s Self-organizing Maps. We have evaluated how closely clusters produced by a computer resemble those created by human experts. We have also measured the time that it takes for an expert to ';';clean up" the automatically produced clusters. The technique based on Ward';s clustering was found to be more precise. Both techniques have worked equally well in detecting associations between text documents. We used text messages obtained from group brainstorming meetings.

• 出版日期1999-11