根据65例正常肺功能的样本数据，应用主成份分析方法，我们算得第一、第二主成份。
Using the method of principal component Analysis based on the sample data of 65 individuals with normal pulmonary function, we obtained the first and second principal components.
针对数据对象是高维数据的问题，将主成份分析方法应用到异常检测中解决数据集的降维问题。
Aiming at the problem that dataset is of high dimensions, principal components analysis is used in anomaly detection to reduce the dimensions of dataset.
多元统计分析的主成份分析方法是对多维矢量数据提取主要特征分量，以此达到压缩矢量维数的目的。
The principal component analysis in multivariate statistic analysis is a method of compressing the dimension of vector data by extracting principal typical components from sample data set.
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