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Title:
A novel quantum genetic clustering algorithm for data segmentation
Author: Zhang, Ming-An (1) ; Deng, Yong (1) ; Chang, Dong-Xia (2)
Conference Name: 16th Genetic and Evolutionary Computation Conference, GECCO 2014
Conference Date: July 12, 2014 - July 16, 2014
Issued Date: 2014
Conference Place: Vancouver, BC, Canada
Publish Place: Association for Computing Machinery
Indexed Type: EI
ISBN: 9781450328814
Department: (1) Institute of Software, Chinese Academy of Sciences, 4# South Fourth Street, Zhongguancun, Beijing 100190, China; (2) Institute of Information Science, Beijing Jiaotong University, No.3 Shang Yuan Cun, Hai Dian District Beijing 100040, China
Abstract: Based on the concept and principles of quantum computing, a novel genetic clustering algorithm is proposed, which can automatically clustering a data set into clusters, and evolve the optimal number of clusters as well as the cluster centers of a data set. A Q-gate with adaptive selection of the angle for every niche is introduced as a variation operator to drive individuals toward better solutions. Experiments show that the algorithm proposed is better than simple clustering algorithms.
English Abstract: Based on the concept and principles of quantum computing, a novel genetic clustering algorithm is proposed, which can automatically clustering a data set into clusters, and evolve the optimal number of clusters as well as the cluster centers of a data set. A Q-gate with adaptive selection of the angle for every niche is introduced as a variation operator to drive individuals toward better solutions. Experiments show that the algorithm proposed is better than simple clustering algorithms.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16622
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhang, Ming-An ,Deng, Yong ,Chang, Dong-Xia . A novel quantum genetic clustering algorithm for data segmentation[C]. 见:16th Genetic and Evolutionary Computation Conference, GECCO 2014. Vancouver, BC, Canada. July 12, 2014 - July 16, 2014.
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