DocumentCode
1863015
Title
An Improved Ant-Colony Clustering Algorithm Based on the Innovational Distance Calculation Formula
Author
Li, Shanfei ; Yang, Kewei ; Huang, Wei ; Tan, Yuejin
Author_Institution
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear
2010
fDate
9-10 Jan. 2010
Firstpage
342
Lastpage
346
Abstract
Focused on the disadvantage of classical Euclidian distance in data clustering analysis, we propose an improved distance calculation formula, which describes the local compactness and global connectivity between data points. Furthermore, we improve ant-colony clustering algorithm by using the improved distance calculation formula. Theoretical analysis and experiments show that this method is more efficient and has the ability to identify complex nonconvex clusters.
Keywords
data handling; optimisation; pattern clustering; Euclidian distance; ant-colony clustering algorithm; data clustering; distance calculation formula; Clustering algorithms; Conference management; Educational institutions; Euclidean distance; Information management; Innovation management; Knowledge management; Management information systems; Shape; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location
Phuket
Print_ISBN
978-1-4244-5397-9
Electronic_ISBN
978-1-4244-5398-6
Type
conf
DOI
10.1109/WKDD.2010.46
Filename
5432596
Link To Document