DocumentCode :
2731582
Title :
Metaheuristics for clustering in KDD
Author :
Rayward-Smith, V.J.
Author_Institution :
Dept. Bus. Syst., Monash Univ., Clayton, Vic., Australia
Volume :
3
fYear :
2005
fDate :
2-5 Sept. 2005
Firstpage :
2380
Abstract :
Research into the use of metaheuristics in clustering is reviewed and assessed. Suggestions are made for future work in this area and conceptual clustering is highlighted as a priority.
Keywords :
data mining; pattern clustering; clustering; databases; knowledge discovery; metaheuristics; Australia; Business; Clustering algorithms; Eigenvalues and eigenfunctions; Euclidean distance; Focusing; Image databases; Partitioning algorithms; Principal component analysis; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
Type :
conf
DOI :
10.1109/CEC.2005.1554991
Filename :
1554991
Link To Document :
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