Iris dataset (2d feature)로 PCA를 적용한 예시이다. import numpy as npfrom sklearn.decomposition import PCAfrom sklearn.preprocessing import StandardScalerfrom sklearn.datasets import load_iris# 1. Load sample data (Iris dataset)data = load_iris()X = data.data# 2. Standardize the data (Mean=0, Variance=1)scaler = StandardScaler()X_scaled = scaler.fit_transform(X)# 3. Apply PCA (reduce to 2 components)pca ..