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rkdgusrn1212/pca.py

Last active June 8, 2022 04:14
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PCA(Principal Component Analysis)
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pca.py
from sklearn.decomposition import PCA
X = (X - X.mean(axis=0)) / X.std(axis=0)
pca = PCA()
X_pca = pca.fit_transform(X)
#X_pca는 2차원 ndarray다.row=index,column=principle component
#pca.component_로 row=principle component col=feature인 2차원 배열을 얻을 수 있다.
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