A novel genetic clustering algorithm with variable-length chromosome representation
文献类型：会议论文
| 作者 | Zhang, Ming-An (1) ; Deng, Yong (1) ; Chang, Dong-Xia (2) |
| 出版日期 | 2014 |
| 会议名称 | 16th Genetic and Evolutionary Computation Conference, GECCO 2014 |
| 会议日期 | July 12, 2014 - July 16, 2014 |
| 会议地点 | Vancouver, BC, Canada |
| 页码 | 1483-1484 |
| 中文摘要 | The paper proposed a new genetic clustering algorithm with variable-length chromosome representation(GCVCR), which can automatically evolve and find the optimal number of clusters as well as proper cluster centers of the data set. A new clustering criterion based on message passing between data points and the candidate centers described by the chromosome are presented to make the clustering problem more effective. The simulation results show the effectiveness of the proposed algorithm. |
| 英文摘要 | The paper proposed a new genetic clustering algorithm with variable-length chromosome representation(GCVCR), which can automatically evolve and find the optimal number of clusters as well as proper cluster centers of the data set. A new clustering criterion based on message passing between data points and the candidate centers described by the chromosome are presented to make the clustering problem more effective. The simulation results show the effectiveness of the proposed algorithm. |
| 收录类别 | EI |
| 会议录出版地 | Association for Computing Machinery |
| 语种 | 英语 |
| ISBN号 | 9781450328814 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16578]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Zhang, Ming-An ,Deng, Yong ,Chang, Dong-Xia . A novel genetic clustering algorithm with variable-length chromosome representation[C]. 见:16th Genetic and Evolutionary Computation Conference, GECCO 2014. Vancouver, BC, Canada. July 12, 2014 - July 16, 2014. |
入库方式： OAI收割
来源：软件研究所
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