DocumentCode :
1944578
Title :
Voronoi-based Topological Information for Combining Partitioning and Hierarchical Clustering
Author :
Lee, Ickjai ; Yang, Jianhua
Author_Institution :
Sch. of Inf. Technol., James Cook Univ., Townsville, Qld.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
484
Lastpage :
489
Abstract :
Recently, hybrid clustering has attracted a great attention in the literature. This paper investigates a topology-based merge technique for combining partitioning and hierarchical clustering. The proposed merge technique enhances the efficiency of partitioning clustering while preserving the effectiveness of hierarchical clustering. It complements those clustering´s weaknesses and amplifies their strengths
Keywords :
computational complexity; computational geometry; merging; pattern clustering; topology; Voronoi diagram; hierarchical clustering; hybrid clustering; partitioning clustering; topology-based merge technique; Australia; Computational efficiency; Data analysis; Data mining; Decision making; Explosions; Information technology; Performance evaluation; Solid modeling; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631515
Filename :
1631515
Link To Document :
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