期刊文献+

高维数据可视化方法研究 被引量:12

Research on Methods of High-dimensional Data Visualization
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摘要 本文从高维数据成功可视化的三要素着手,介绍了几种主要的高维数据可视化方法。 In this paper the authors discuss three basic elements of successfully visualizing high - dimensional data. At the same time the authors introduce several typical high- dimensional data visualization methods.
出处 《情报科学》 CSSCI 北大核心 2007年第1期117-120,共4页 Information Science
基金 国家自科基金项目(批准号:70473068)
关键词 高维数据 平行坐标 散点图矩阵 VHDR high - dimensional data paralhl coordinates scatterplot matrices VHDR
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参考文献12

  • 1Penny R.,etc.Assessing Projection Quality for High-dimensional Information Visualization[EB/OL].http://www.csee.umbc.edu/cadip/2002Symposium/projstrip.pdf,2005-09-12.
  • 2http://catt.bus.okstate.edu/jones98/parallel,html,2005-09 -12.
  • 3欧海英,张为华,李晓斌,刘春梅.平行坐标可视化技术在固体火箭发动机优化设计中的应用[J].固体火箭技术,2004,27(4):255-259. 被引量:7
  • 4刘勘,周晓峥,周洞汝.基于平行坐标法的可视数据挖掘[J].计算机工程与应用,2003,39(5):193-195. 被引量:10
  • 5Jing Y.,Matthew O.W.,etc.Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets[EB/OL].http://davis.wpi.edu/~xmdv/docs/vhdr.pdf,2005-09-20.
  • 6Scatterplot Matrix[EB/OL].http://www.itl.nist.gov/div898/handbook/eda/section3/eda33qb.htm,2005-09-20.
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  • 8Novotny M.Visually effective information visualization of large datal[C].8th Central European Seminar on Computer Graphics,Thchnische Universit(a)t Wien,Vienna,Austria,2004.41-48.
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  • 10胡永刚.数据挖掘中可视化技术综述[J].计算机与现代化,2004(10):32-33. 被引量:14

二级参考文献7

  • 1Jhan M Kamber著 范明 孟小峰等译.数据挖掘:概念与技术[M].北京:机械工业出版社,2001..
  • 2Inselberg A, Dimsdale B. Parallel coordinates: A tool for visualizing multidimensional geometry[C]. In Proceedings of IEEE Visualization'90, Los Alamitos, CA, 1990.
  • 3Amit Goel. Visualization in problem solving environments[D]. Master Paper, Virginia Polytechnic Institute and State University, 1999.
  • 4Siirtola H. Direct manipulation of parallel coordinates[C]. Information Visualization IV'00, Proceedings International Conference on Information Visualization, IEEE Computer Society, 2000.
  • 5Antony Unwin. Parallel coordinates for exploratory modelling analysis[D], University of Augsburg, 2000.
  • 6Doleisch H, Hauser H. Smooth brushing for focus+context visualization of simulation data in 3D[C]. In Proc. of WSCG 2002, Plzen, Czech Republic.
  • 7Helwig Hauser, Florian Ledermann, Helmut Doleisch. Angular brushing of extended parallel coordinates[EB/OL]. http:/www.VRVis.at/vis/, 2002.

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