PCA降维算法应用大数据挖掘中，在大数据环境下实现数据的降维，可按需要自行修改代码-PCA dimensionality reduction algorithm in data mining, in the big data environment for data dimension reduction, according to need to modify the code itself

主成分分析是多元统计分析中用来分析数据的一种方法，它是用一种较少数量的特征对样本进行描述以达到降低特征空间维数的方法(Principal component analysis is a method of data used in multivariate statistical analysis, it is describing the samples with characteristics of a small number of methods to reduce the dimens

本程序可以对高维数据进行降维，便于得到主成分进行后续分析。(This program can reduce dimension of high-dimensional data and facilitate principal component analysis for subsequent analysis.)