DocumentCode
2100293
Title
Quantum genetic algorithm based clustering approach
Author
Zeng Cheng ; Zhao Xijun ; Xu Hong
Author_Institution
Inst. of Electron. Eng., China Acad. of Eng. Phys., Mianyang, China
fYear
2010
fDate
29-31 July 2010
Firstpage
5134
Lastpage
5137
Abstract
Clustering is one of the important technologies of data mining and an unsupervised pattern recognition technology. For which, a clustering approach based on quantum genetic algorithm is proposed. It transforms clustering problem into cluster center optimization problems, realizes clustering through quantum genetic algorithm evolution computation. Compared with other clustering algorithms, simulation results show that, the approach can obtain better clustering results and is feasible.
Keywords
data mining; genetic algorithms; pattern clustering; clustering approach; data mining; quantum genetic algorithm; unsupervised pattern recognition; Clustering algorithms; Data mining; Electronic mail; Iris recognition; Nearest neighbor searches; Optimization; Quantum computing; Cluster Center; Clustering Algorithm; Data Mining; Optimization; Quantum Crossover; Quantum Genetic Algorithm; Quantum Mutation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573159
Link To Document