Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering
In order to solve the problem that parallel coordinate visualization graphic lines are intensive,overlap and rules of data is not easy to be obtained which caused by high dimension and immense amount of multidimensional data.Parallel coordinate visualization method based on principal component analy...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-08-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189 |
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| _version_ | 1841530187318034432 |
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| author | Guo-jun MA Shui-bo WANG Qing-qi PEI Yang ZHAN |
| author_facet | Guo-jun MA Shui-bo WANG Qing-qi PEI Yang ZHAN |
| author_sort | Guo-jun MA |
| collection | DOAJ |
| description | In order to solve the problem that parallel coordinate visualization graphic lines are intensive,overlap and rules of data is not easy to be obtained which caused by high dimension and immense amount of multidimensional data.Parallel coordinate visualization method based on principal component analysis and K-means clustering was proposed.In this method,the principal component analysis method was used to reduce the dimensionality of the multidimensional data firstly.Secondly,the data of the dimension reduction was clustered by K-means.Finally,the data of the clustering were visualized by parallel coordinate visualization.The PCAKP visualization method is tested with the data published by the Bureau of Statistics as the test data,and compared with the traditional parallel coordinate visualization graph,the validity and effectiveness of the PCAKP visualization method are verified. |
| format | Article |
| id | doaj-art-0ca3f0db90984d7cbd72dadd983d5fdd |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-08-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-0ca3f0db90984d7cbd72dadd983d5fdd2025-01-15T03:05:59ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-08-013182759551129Research on parallel coordinate visualization technology based on principal component analysis and K-means clusteringGuo-jun MAShui-bo WANGQing-qi PEIYang ZHANIn order to solve the problem that parallel coordinate visualization graphic lines are intensive,overlap and rules of data is not easy to be obtained which caused by high dimension and immense amount of multidimensional data.Parallel coordinate visualization method based on principal component analysis and K-means clustering was proposed.In this method,the principal component analysis method was used to reduce the dimensionality of the multidimensional data firstly.Secondly,the data of the dimension reduction was clustered by K-means.Finally,the data of the clustering were visualized by parallel coordinate visualization.The PCAKP visualization method is tested with the data published by the Bureau of Statistics as the test data,and compared with the traditional parallel coordinate visualization graph,the validity and effectiveness of the PCAKP visualization method are verified.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189data visualizationparallel coordinate visualizationprincipal component analysisK-means clustering |
| spellingShingle | Guo-jun MA Shui-bo WANG Qing-qi PEI Yang ZHAN Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering 网络与信息安全学报 data visualization parallel coordinate visualization principal component analysis K-means clustering |
| title | Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering |
| title_full | Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering |
| title_fullStr | Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering |
| title_full_unstemmed | Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering |
| title_short | Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering |
| title_sort | research on parallel coordinate visualization technology based on principal component analysis and k means clustering |
| topic | data visualization parallel coordinate visualization principal component analysis K-means clustering |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189 |
| work_keys_str_mv | AT guojunma researchonparallelcoordinatevisualizationtechnologybasedonprincipalcomponentanalysisandkmeansclustering AT shuibowang researchonparallelcoordinatevisualizationtechnologybasedonprincipalcomponentanalysisandkmeansclustering AT qingqipei researchonparallelcoordinatevisualizationtechnologybasedonprincipalcomponentanalysisandkmeansclustering AT yangzhan researchonparallelcoordinatevisualizationtechnologybasedonprincipalcomponentanalysisandkmeansclustering |