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