首页 | 本学科首页   官方微博 | 高级检索  
     

高维数据的2D图单点表示原理
引用本文:张涛,洪文学,景军,彭勇. 高维数据的2D图单点表示原理[J]. 燕山大学学报, 2008, 32(5)
作者姓名:张涛  洪文学  景军  彭勇
作者单位:燕山大学,电气工程工程学院,河北,秦皇岛,066004
基金项目:国家自然科学基金,河北省自然科学基金
摘    要:高维数据的单点2D图表示是2D图表示的重要分支.由于其可在单幅多元图中显示多个观察,因此适用于模式识别领域中的特征选择与分类空间形成.本文根据多元图中单点映射的变量数目的不同对单点图表示进行了对比,并分析了其各自的适用范围与优缺点.

关 键 词:单点图表示  高维数据  极坐标映射  散点图  星座图

2D graphical representation reflecting high-dimensional observation with sole point
ZHANG Tao,HONG Wen-xue,JING Jun,PENG Yong. 2D graphical representation reflecting high-dimensional observation with sole point[J]. Journal of Yanshan University, 2008, 32(5)
Authors:ZHANG Tao  HONG Wen-xue  JING Jun  PENG Yong
Affiliation:ZHANG Tao,HONG Wen-xue,JING Jun,PENG Yong (1. College of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)
Abstract:2D graphical representation which reflects high-dimensional observation with sole point is one important branch of 2D graphical representations. The representation is competent for feature selection and class space building as it can display a set of observations in one graph. In this paper, the typical representations are analyzed according to the relationship between the sole point and number of attributes. The advantages, disadvantages of each representation and its applicability are also discussed.
Keywords:graph representation with sole point  high-dimensional data  polar mapping  scatter  constellation graph  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号