Application of Principal Component Analysis Model in Data Processing
Guangxia Wang · Journal of Zhengzhou Institute of Surveying and Mapping · 2007
Principal Component Analysis Model was a statistical method which could turn the much more original indexes into less compositive ones containing all information.Using the MATLAB software,the paper explored the method of thematic data processing by Principal Component Analysis Model,and analyzed,evaluated the result with the scientific visualization function of MATLAB.The experiment proved that Principal Component Analysis Model could effective simplify the original variable and mine the hidden information.