Visualized Clustering of Ideas for Group Argumentation

Author

Luo, Bin ; Tang, Xijin

Author_Institution

Inst. of Syst. Sci., Chinese Acad. of Sci., Beijing, China

Volume

3

fYear

2010

fDate

Aug. 31 2010-Sept. 3 2010

Firstpage

136

Lastpage

141

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WI-IAT.2010.280

Filename

5614419