CMDC:an iterative algorithm for complementary multi-view document clustering
In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative algorithm for complementary multi-view document clust...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-08-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020152/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539297329545216 |
|---|---|
| author | Ruizhang HUANG Ruina BAI Yanping CHEN Yongbin QIN Xinyu CHENG Youliang TIAN |
| author_facet | Ruizhang HUANG Ruina BAI Yanping CHEN Yongbin QIN Xinyu CHENG Youliang TIAN |
| author_sort | Ruizhang HUANG |
| collection | DOAJ |
| description | In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative algorithm for complementary multi-view document clustering——CMDC was proposed,in which the multi-view document clustering process and the multi-view feature adjustment were conducted in a mutually unified manner.In CMDC algorithm,complementary text documents were selected from the clustering results to aid adjusting the contribution of view features via learning a local measurement metric of each document view.The complementary text document of the results among the dimensionality clusters was selected by CMDC,and used to promote the feature tuning of the clusters.The partition consistency of the multi-dimensional document clustering was solved by the measure consistency of the dimensions.Experimental results show that CMDC effectively improves multi-dimensional clustering performance. |
| format | Article |
| id | doaj-art-a7b999f0496443b3a16c9c0a675b2e23 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a7b999f0496443b3a16c9c0a675b2e232025-01-14T07:19:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-08-014115516459736180CMDC:an iterative algorithm for complementary multi-view document clusteringRuizhang HUANGRuina BAIYanping CHENYongbin QINXinyu CHENGYouliang TIANIn response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative algorithm for complementary multi-view document clustering——CMDC was proposed,in which the multi-view document clustering process and the multi-view feature adjustment were conducted in a mutually unified manner.In CMDC algorithm,complementary text documents were selected from the clustering results to aid adjusting the contribution of view features via learning a local measurement metric of each document view.The complementary text document of the results among the dimensionality clusters was selected by CMDC,and used to promote the feature tuning of the clusters.The partition consistency of the multi-dimensional document clustering was solved by the measure consistency of the dimensions.Experimental results show that CMDC effectively improves multi-dimensional clustering performance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020152/multi-view document clusteringcomplementary textconstrained document clusteringmetric calculation |
| spellingShingle | Ruizhang HUANG Ruina BAI Yanping CHEN Yongbin QIN Xinyu CHENG Youliang TIAN CMDC:an iterative algorithm for complementary multi-view document clustering Tongxin xuebao multi-view document clustering complementary text constrained document clustering metric calculation |
| title | CMDC:an iterative algorithm for complementary multi-view document clustering |
| title_full | CMDC:an iterative algorithm for complementary multi-view document clustering |
| title_fullStr | CMDC:an iterative algorithm for complementary multi-view document clustering |
| title_full_unstemmed | CMDC:an iterative algorithm for complementary multi-view document clustering |
| title_short | CMDC:an iterative algorithm for complementary multi-view document clustering |
| title_sort | cmdc an iterative algorithm for complementary multi view document clustering |
| topic | multi-view document clustering complementary text constrained document clustering metric calculation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020152/ |
| work_keys_str_mv | AT ruizhanghuang cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering AT ruinabai cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering AT yanpingchen cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering AT yongbinqin cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering AT xinyucheng cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering AT youliangtian cmdcaniterativealgorithmforcomplementarymultiviewdocumentclustering |