Uncertain data analysis algorithm based on fast Gaussian transform
The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017061 |
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| _version_ | 1850211656497364992 |
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| author | Rong-hua CHI Yuan CHENG Su-xia ZHU Shao-bin HUANG De-yun CHEN |
| author_facet | Rong-hua CHI Yuan CHENG Su-xia ZHU Shao-bin HUANG De-yun CHEN |
| author_sort | Rong-hua CHI |
| collection | DOAJ |
| description | The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm. |
| format | Article |
| id | doaj-art-dbd6e5ba1cc442a299cfd5f212038c73 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-dbd6e5ba1cc442a299cfd5f212038c732025-08-20T02:09:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-03-013810111159708663Uncertain data analysis algorithm based on fast Gaussian transformRong-hua CHIYuan CHENGSu-xia ZHUShao-bin HUANGDe-yun CHENThe effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017061clustering analysis;uncertain data;probability density function;fast Gaussian transform;kernel density estimation |
| spellingShingle | Rong-hua CHI Yuan CHENG Su-xia ZHU Shao-bin HUANG De-yun CHEN Uncertain data analysis algorithm based on fast Gaussian transform Tongxin xuebao clustering analysis;uncertain data;probability density function;fast Gaussian transform;kernel density estimation |
| title | Uncertain data analysis algorithm based on fast Gaussian transform |
| title_full | Uncertain data analysis algorithm based on fast Gaussian transform |
| title_fullStr | Uncertain data analysis algorithm based on fast Gaussian transform |
| title_full_unstemmed | Uncertain data analysis algorithm based on fast Gaussian transform |
| title_short | Uncertain data analysis algorithm based on fast Gaussian transform |
| title_sort | uncertain data analysis algorithm based on fast gaussian transform |
| topic | clustering analysis;uncertain data;probability density function;fast Gaussian transform;kernel density estimation |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017061 |
| work_keys_str_mv | AT ronghuachi uncertaindataanalysisalgorithmbasedonfastgaussiantransform AT yuancheng uncertaindataanalysisalgorithmbasedonfastgaussiantransform AT suxiazhu uncertaindataanalysisalgorithmbasedonfastgaussiantransform AT shaobinhuang uncertaindataanalysisalgorithmbasedonfastgaussiantransform AT deyunchen uncertaindataanalysisalgorithmbasedonfastgaussiantransform |