Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract
An integration of clustering algorithm was proposed for the shortage of the DBSCAN algorithm in inhomogeneous distribution and large-scale data processing.The algorithm extracted representative data from the original data set using information entropy and ant colony clustering technology,and did DBS...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2012.z2.042 |
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| _version_ | 1850211858052546560 |
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| author | Yong-hua ZHANG Fei-ming DU Dai-wen WU |
| author_facet | Yong-hua ZHANG Fei-ming DU Dai-wen WU |
| author_sort | Yong-hua ZHANG |
| collection | DOAJ |
| description | An integration of clustering algorithm was proposed for the shortage of the DBSCAN algorithm in inhomogeneous distribution and large-scale data processing.The algorithm extracted representative data from the original data set using information entropy and ant colony clustering technology,and did DBSCAN clustering based on the representative data subset.The experiment show that this algorithm is effective to reduce the I/O-consuming and memory requirements,and resolve the cluster problem of large-scale data sets containing categories property. |
| format | Article |
| id | doaj-art-cb02083124314bcd88fc74a7b4f13807 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-cb02083124314bcd88fc74a7b4f138072025-08-20T02:09:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013329029359670442Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstractYong-hua ZHANGFei-ming DUDai-wen WUAn integration of clustering algorithm was proposed for the shortage of the DBSCAN algorithm in inhomogeneous distribution and large-scale data processing.The algorithm extracted representative data from the original data set using information entropy and ant colony clustering technology,and did DBSCAN clustering based on the representative data subset.The experiment show that this algorithm is effective to reduce the I/O-consuming and memory requirements,and resolve the cluster problem of large-scale data sets containing categories property.http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2012.z2.042information entropy;clustering;DBSCAN;ant colony optimization |
| spellingShingle | Yong-hua ZHANG Fei-ming DU Dai-wen WU Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract Tongxin xuebao information entropy;clustering;DBSCAN;ant colony optimization |
| title | Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract |
| title_full | Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract |
| title_fullStr | Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract |
| title_full_unstemmed | Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract |
| title_short | Improved density-dased clustering algorithm based on information entropy and ant colony optimization abstract |
| title_sort | improved density dased clustering algorithm based on information entropy and ant colony optimization abstract |
| topic | information entropy;clustering;DBSCAN;ant colony optimization |
| url | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2012.z2.042 |
| work_keys_str_mv | AT yonghuazhang improveddensitydasedclusteringalgorithmbasedoninformationentropyandantcolonyoptimizationabstract AT feimingdu improveddensitydasedclusteringalgorithmbasedoninformationentropyandantcolonyoptimizationabstract AT daiwenwu improveddensitydasedclusteringalgorithmbasedoninformationentropyandantcolonyoptimizationabstract |