本笔记来源于B站Up主: 有Li 的影像组学系列教学视频
本节(23)主要讲解: 主成分析PCA，影像组学降维和特征筛选的区别

0. PCA(Principal component analysis)的数学原理

1. 导入包

import numpy as np
import pandas as pd
from sklearn.utils import shuffle
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LassoCV
from sklearn.model_selection import train_test_split, cross_val_score,KFold,RepeatedKFold,GridSearchCV
from sklearn import svm

2. 导入及准备数据

xlsx1_filePath = 'C:/Users/RONG/Desktop/PCA/data_A.xlsx'
xlsx2_filePath = 'C:/Users/RONG/Desktop/PCA/data_B.xlsx'
data_1 = pd.read_excel(xlsx1_filePath)
data_2 = pd.read_excel(xlsx2_filePath)