Image cluster algorithm of hybrid encoding method
In the clustering analysis based on swarm intelligence optimization algorithm,the most of encoding method only used single form,and this method might be limit range of search space,the algorithm was easy to fall into local op-timum.In order to solve this problem,image clustering algorithm of hybrid...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017022/ |
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| _version_ | 1841539494131531776 |
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| author | Chun-hui ZHAO Xue-yuan LI Ying CUI |
| author_facet | Chun-hui ZHAO Xue-yuan LI Ying CUI |
| author_sort | Chun-hui ZHAO |
| collection | DOAJ |
| description | In the clustering analysis based on swarm intelligence optimization algorithm,the most of encoding method only used single form,and this method might be limit range of search space,the algorithm was easy to fall into local op-timum.In order to solve this problem,image clustering algorithm of hybrid encoding (HEICA) was proposed.Firstly,a hybrid encoding model based on image clustering was established,this method could expand the scope of the search space.Meanwhile,it was combined with two optimization algorithms which improved rain forest algorithm (IRFA) and quantum particle swarm optimization (QPSO),this method could improve the global search capability.In the simulation experiment,it was carried out to illustrate the performance of the proposed method based on four datasets.Compared with results form four measured cluster algorithm.The experimental results show that the algorithm has strong global search capability,high stability and clustering effect. |
| format | Article |
| id | doaj-art-38b238fec4f5493bb2ea0b87ee4282c0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-38b238fec4f5493bb2ea0b87ee4282c02025-01-14T07:11:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-02-01381959707105Image cluster algorithm of hybrid encoding methodChun-hui ZHAOXue-yuan LIYing CUIIn the clustering analysis based on swarm intelligence optimization algorithm,the most of encoding method only used single form,and this method might be limit range of search space,the algorithm was easy to fall into local op-timum.In order to solve this problem,image clustering algorithm of hybrid encoding (HEICA) was proposed.Firstly,a hybrid encoding model based on image clustering was established,this method could expand the scope of the search space.Meanwhile,it was combined with two optimization algorithms which improved rain forest algorithm (IRFA) and quantum particle swarm optimization (QPSO),this method could improve the global search capability.In the simulation experiment,it was carried out to illustrate the performance of the proposed method based on four datasets.Compared with results form four measured cluster algorithm.The experimental results show that the algorithm has strong global search capability,high stability and clustering effect.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017022/image cluster analysishybrid encodingrain forest algorithmquantum particle swarm optimization |
| spellingShingle | Chun-hui ZHAO Xue-yuan LI Ying CUI Image cluster algorithm of hybrid encoding method Tongxin xuebao image cluster analysis hybrid encoding rain forest algorithm quantum particle swarm optimization |
| title | Image cluster algorithm of hybrid encoding method |
| title_full | Image cluster algorithm of hybrid encoding method |
| title_fullStr | Image cluster algorithm of hybrid encoding method |
| title_full_unstemmed | Image cluster algorithm of hybrid encoding method |
| title_short | Image cluster algorithm of hybrid encoding method |
| title_sort | image cluster algorithm of hybrid encoding method |
| topic | image cluster analysis hybrid encoding rain forest algorithm quantum particle swarm optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017022/ |
| work_keys_str_mv | AT chunhuizhao imageclusteralgorithmofhybridencodingmethod AT xueyuanli imageclusteralgorithmofhybridencodingmethod AT yingcui imageclusteralgorithmofhybridencodingmethod |