Develop/Machine_Learning
[Machine_Learning]OLS, Ridge, Lasso regression code
Dataset OLS.py Ridge.py Lasso.py
Develop
Develop/Machine_Learning
[Machine_Learning]PAM vs K-Means with Outliers
데이터 셋 생성 import numpy as np import matplotlib.pyplot as plt from sklearn.datasets import make_blobs X, _ = make_blobs(n_samples=50, centers=1, cluster_std=0.5, random_state=42) #outliers outliers = np.array([[3, 3], [3, -3], [-3, 3], [-3, -3]]) X_with_outliers = np.vstack([X, outliers]) #data view plt.scatter(X_with_outliers[:, 0], X_with_outliers[:, 1], c='blue', s=50) plt.scatter(outliers[:, 0..
