A Novel High-dimension Data Visualization Method Based on Concept Color Spectrum Diagram

被引：0
|
作者：
Di, Hongyu [1 ]
Tang, Xiaogang [1 ,2 ]
Wang, Sun'an [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China
[2] Equipment Acad, Dept Informat Equipment, Beijing, Peoples R China
来源：
2015 IEEE 11TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2015) | 2015年
关键词：
Visualization; cloud transformation; color space; color spectrum diagram;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
According to the conceptualization habit of human cognition and perceiving characteristics of the human eyesight, a novel high-dimensional data visualization method, which combined uncertain concepts extraction methods and visualization techniques, is proposed in this paper. The technical framework of generating a concept color spectrum diagram of a high-dimension data record is presented. The cloud transformation is applied to extract uncertain concepts, and an approach that represents a concept by a specific color in HSV color space is designed. Hence the color parallel coordinates of cloud sets are established, it could display the distribution features of data while represent corresponding low-dimensional concepts. The concept color spectrum diagrams are generated to provide an overview of data records. All of the visualization processes are illustrated by figures of a test data set. This method has great potential in multivariate data presentation.
引用
收藏
页码：140 / 144
页数：5
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