Paper
3 December 2015 Evaluating the correlation between a factor with an object by principal component analysis
Jianhua Dong, Guoyin Wang, Haolin Wang, Huyong Yan
Author Affiliations +
Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 979430 (2015) https://doi.org/10.1117/12.2202731
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
Abstract
The development of evaluating a correlation is a critical element in the assessment of correlation between different objects. This study proposes a new method to measure the correlation between a possible factor with an object and give a interpretation from the perspective of principal components. To test this, some water quality data was used to analyze, the result demonstrates the effectiveness of theoretical description and formula we provided.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianhua Dong, Guoyin Wang, Haolin Wang, and Huyong Yan "Evaluating the correlation between a factor with an object by principal component analysis", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 979430 (3 December 2015); https://doi.org/10.1117/12.2202731
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KEYWORDS
Principal component analysis

Machine learning

Electronics engineering

Associative arrays

Data analysis

Data mining

Databases

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