基于可交互相关性矩阵的维度重排径向坐标可视化方法

doi:10.16451/j.cnki.issn1003-6059.201707006

CORC > 北京大学 > 信息科学技术学院

	基于可交互相关性矩阵的维度重排径向坐标可视化方法; Interactive Dimension Reordering in RadViz with Correlation Matrix
	张志豪 ; 张军平 ; 陈德铭 ; 卢颖 ; 袁晓如 ; 古天龙
刊名	模式识别与人工智能
	2017
关键词	径向坐标可视化(RadViz) 维度重排相关性矩阵层次聚类特征子集选择 Radial Visualization(RadViz) Dimension Reordering Correlation Matrix Hierarchical Clustering Feature Subset Selection
DOI	10.16451/j.cnki.issn1003-6059.201707006
英文摘要	针对现有维度排序方法较少考虑到用户参与的问题,文中提出基于可交互相关性矩阵的维度重排径向坐标可视化方法.采用考虑到径向坐标可视化(RadViz)特性、拥有可变参数的层次聚类算法推荐初始的维度顺序,提供展示算法结果的系统树图用于指导用户交互式地调整、选取、删除维度,进行特征子集选择.实验表明,文中方法具有较好的交互性,注重用户体验,减轻RadViz中的投影点重叠问题.; In the existing dimension reordering algorithms, the interactive functions allowing users to perform order navigation or reorder operations are rarely taken into account.Aiming at this problem, a navigation-guided correlation matrix is proposed for users to interactively reorder dimensions in radial visualization(RadViz).A hierarchical clustering algorithm with configurable parameters is specially designed for RadViz to recommend the initial dimension order.The dendrogram of results is employed to help users interactively reorder,select and delete dimensions for feature subset selection.Experiments show that the proposed method is interactive, user-friendly and helpful for alleviating the overlapping problem of data projections in RadViz.; 国家自然科学基金项目; 上海市浦江人才计划项目; National Natural Science Foundation of China; Shanghai 16PJD009) PuJiang Program; 7; 637-645; 30
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/465105]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	张志豪,张军平,陈德铭,等. 基于可交互相关性矩阵的维度重排径向坐标可视化方法, Interactive Dimension Reordering in RadViz with Correlation Matrix[J]. 模式识别与人工智能,2017.
APA	张志豪,张军平,陈德铭,卢颖,袁晓如,&古天龙.(2017).基于可交互相关性矩阵的维度重排径向坐标可视化方法.模式识别与人工智能.
MLA	张志豪,et al."基于可交互相关性矩阵的维度重排径向坐标可视化方法".模式识别与人工智能 (2017).