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TVBPS:一种基于Parallel Sets的具有度量属性的多变元时态数据可视化方法
  • 摘要

    针对现有“具有度量属性的多变元时态数据”可视化方法不足,提出Parallel Sets分类值排列顺序优化算法ACLEARCR、基于相关度的Parallel Sets变元轴配置算法(VABC)、深度信息Parallel Sets(DCPS)共同组成基于Parallel Sets的具有度量属性的多变元时态数据可视化方法TVBPS。使用具体数据集对提出的可视化方法进行实验,获得的视图能够挖掘数据集中的隐含知识,证明了该方法的有效性。TVBPS可视化方法为分析多变元时态数据集提供了有效手段,具有较高的适用性和易用

  • 作者

    SUN Ning-wei  LIU Hai-feng  ZHAO Yu  LIU Yong  WANG Lu  XIAO Wei-dong 

  • 作者单位

    Unit 91655 of Chinese People's Liberation Army,Beijing 100036,China/Science & Technology on Information Systems Engineering Laboratory,National University of Defense Technology,Changsha 410073,China

  • 刊期

    2014年5期 ISTIC PKU

  • 关键词

    度量属性  多变元  时态  信息可视化  ParallelSets  measures  multivariate data  time-varying data  information visualization  Parallel Sets 

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