为此，提出了基于主元分析法和FRF的井架损伤识别方法。
Therefore, the derrick damage identification method based on principal component analysis and FRF is put forward.
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
试验证明，采用主元分析法进行识别能获取较高的识别率，该识别率可以在85%以上。
We have used sample images to test the face recognition application based the methods above, and the recognition rate is above 85%.
多元统计过程介绍了三种主要的方法：主元分析法、偏最小二乘法和核函数概率密度估计法。
About multivariate statistical process, three methods are introduced: Principal Component Analysis, Partial Least Squares, Kernel Density Estimation.
利用主元分析法，可以在保留原有数据信息特征的基础上，消除变量关联和部分系统干扰，简化分析的复杂程度。
It can eliminate the correlation between variables and disturbance of system and can simplify complicated degree by PCA when reserving enough features of original data information.
基于这个变量体系，我们运用主元因素分析法编制了一个可反映上市公司治理水平的综合指标——G指标。
Applying the principal component analysis method (PCA) to these variables, we compile a single composite index (G-Index) to rank Chinese listed firms' corporate governance levels.
主成分分析法可以提取样本集的主元，从而降低样本的维数，甚至可以实现样本的最优压缩。
Principal component analysis method can reduce dimensions of samples and even produce optimal compression of samples.
主成分分析法可以提取样本集的主元，从而降低样本的维数，甚至可以实现样本的最优压缩。
Principal component analysis method can reduce dimensions of samples and even produce optimal compression of samples.
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