Visual Analysis Method of Tobacco Quality Data Based on Dimension Reduction

Authors

Tian Dong, 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;
Guihua Shan, 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;
Xuebin Chi, 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;
Yanling Zhang, 3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou 450001, China;
Weihua Feng, 3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou 450001, China;
Jianwei Wang, 3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou 450001, China;
Aiguo Wang, 3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou 450001, China;
Wang Rui, 3. Zhengzhou Tobacco Research Institute, China National Tobacco Corporation, Zhengzhou 450001, China;

Abstract

Abstract: In order to meet the requirements of tobacco leaf matching across regions in tobacco material selection, a visual analysis method of tobacco leaf quality data that incorporating dimension reduction and correlation analysis methods is developed. Through the dimension reduction algorithm, the comparison algorithm and the visual interaction method based on the classification of aroma area for tobacco leaf quality data, a visual analysis method for exploring space division and correlation analysis of tobacco leaf quality data is provided. National tobacco leaf quality data analysis cases and expert demonstrations show that the method can carry out the tobacco leaf quality data analysis well.

Recommended Citation

Dong, Tian; Shan, Guihua; Chi, Xuebin; Zhang, Yanling; Feng, Weihua; Wang, Jianwei; Wang, Aiguo; and Rui, Wang (2021) "Visual Analysis Method of Tobacco Quality Data Based on Dimension Reduction," Journal of System Simulation: Vol. 33: Iss. 9, Article 29.
DOI: 10.16182/j.issn1004731x.joss.20-0421
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss9/29

First Page

2279

Revised Date

2020-08-31

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0421

Last Page

2288

CLC

TP391

Recommended Citation

Tian Dong, Shan Guihua, Chi Xuebin, Zhang Yanling, Feng Weihua, Wang Jianwei, Wang Aiguo, Wang Rui. Visual Analysis Method of Tobacco Quality Data Based on Dimension Reduction[J]. Journal of System Simulation, 2021, 33(9): 2279-2288.

Corresponding Author

Wang Rui,

DOI

10.16182/j.issn1004731x.joss.20-0421