DecisionVis: A Method of Multi-attribute Correlation Visual Analysis Decision

Author:

Chu Qikai1ORCID,Wu Yadong2ORCID,Zhang Lingli2ORCID,He Zhouqiao2ORCID,Qiu Yu2ORCID

Affiliation:

1. Sichuan University of Science and Engineering, Sichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China and Sichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China

2. Sichuan University of Science and Engineering, China and Sichuan Provincial Engineering Laboratory of Big Data Visual Analysis Technology, China

Funder

Sichuan University of Science and Engineering

Publisher

ACM

Reference25 articles.

1. Overviewing of visual analysis approaches for clustering high-dimensional data;Zhang R.;Journal of Graphics,2020

2. Y. Cui , “ Research on dimensionality reduction method of high dimensional data for trend prediction ,” Master's thesis , North China University of Technology , 2021 . Y. Cui, “Research on dimensionality reduction method of high dimensional data for trend prediction,” Master's thesis, North China University of Technology,2021.

3. P. Yang , “ Research on visual analysis mechanism of high-dimensional data based on information entropy ,” Master's thesis , Lanzhou University of Technology , 2021 . P. Yang, “Research on visual analysis mechanism of high-dimensional data based on information entropy,” Master's thesis, Lanzhou University of Technology, 2021.

4. Analysis of a complex of statistical variables into principal components.

5. K. Pearson , “ Liii. on lines and planes of closest fit to systems of points in space ,” The London, Edinburgh, and Dublin philosophical magazine and journal of science , vol. 2 , no. 11, pp. 559–572, 1901. K. Pearson, “Liii. on lines and planes of closest fit to systems of points in space,” The London, Edinburgh, and Dublin philosophical magazine and journal of science, vol. 2, no. 11, pp. 559–572, 1901.

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