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