Paper
15 November 2007 Group clustering and its visualization in group support systems
Caiquan Xiong, Dehua Li, Lianghai Jin, Xianbin Sun
Author Affiliations +
Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678806 (2007) https://doi.org/10.1117/12.751149
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Consensus building in group support systems relies on the mutual-question and mutual-elicitation of experts, so a feedback mechanism is required to conduct experts to converge their thinking by visualizing the individual opinion and the consistent state of the group. This paper proposes a new feedback mechanism, which first clusters the experts' preferences into a set of subgroups, and then uses different line-types or line-colors to display the clustered opinions in parallel coordinate. By using this mechanism, the group consistency is analyzed and the group discussion is conducted efficiently. One of the characteristics of the proposed method is that it can protect the minority views automatically. An example is presented to illustrate the application of the method.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caiquan Xiong, Dehua Li, Lianghai Jin, and Xianbin Sun "Group clustering and its visualization in group support systems", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678806 (15 November 2007); https://doi.org/10.1117/12.751149
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KEYWORDS
Visualization

Chromium

Computing systems

Pattern recognition

Artificial intelligence

Computer science

Computer vision technology

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