Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering

Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering

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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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Bibliographic Details
Main Authors: Guo-jun MA, Shui-bo WANG, Qing-qi PEI, Yang ZHAN
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2017-08-01
Series:网络与信息安全学报
Subjects:
data visualization
parallel coordinate visualization
principal component analysis
K-means clustering
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189

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http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189

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