摘要
首先介绍数据变换中极差正规化和非线性变换方法对主成分提取的影响。然后结合山东省2008年的具体经济实例,分别对用标准化、极差正规化和非线性变换方法所得的数据做主成分提取。最后通过比较可得后两种数据变换改进主成分分析的特征提取,比传统的标准化数据变换方法具有优越性。
The influence of the range normalization and nonlinear transform method in the data transformation to extracting principal component are firstly introduced; and then the specific example of Shandong Province economy in 2008, respectively is combined with. The data obtained from the standardization, normalization and nonlinear transform methods is to be extracted the principal component. Finally by comparing the available data, the after two data transformarion methods are superior to the traditional one in improving feature extraction of the principal component analysis.
出处
《科学技术与工程》
北大核心
2012年第6期1348-1351,共4页
Science Technology and Engineering
关键词
主成分分析
极差正规化
对数中心化
principal component analysis range normalization logarithm center
