Eurasian winter sea level pressure anomalies during 1948-2007 were investigated by applying a nonlinear principal component analysis (NLPCA) method.
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。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
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