在此基础上，本文引入了分析有序数据的非线性主成分方法。
On this basis, this paper introduce an analysis of ordinal data on nonlinear principal component method.
仿真实验结果表明，主曲线成分分析能很好地解决非线性主成分问题，应用前景广阔。
Experimental results show that principal curve component analysis is excellent for solving nonlinear principal component problem, and it has great applications potentials.
运用非线性主成分分析法对欧亚地区1948—2007年冬季海平面气压距平场进行分析。
Eurasian winter sea level pressure anomalies during 1948-2007 were investigated by applying a nonlinear principal component analysis (NLPCA) method.
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