Title :
Visualized Clustering of Ideas for Group Argumentation
Author :
Luo, Bin ; Tang, Xijin
Author_Institution :
Inst. of Syst. Sci., Chinese Acad. of Sci., Beijing, China
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
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.
Keywords :
pattern clustering; self-organising feature maps; CorMap analysis; automatic affinity diagram; graph clustering algorithm; group argumentation; iView analysis; idea analysis; idea visualized clustering; k-means clustering; self-organizing map; Artificial neural networks; Clustering methods; Complexity theory; Conferences; Cybernetics; Speech; Systems engineering and theory; affinity diagram; graph clustering; k-means clustering; self-organization map (SOM); visualized clustering;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.280
