k-means(bolds,elbow,mnist,silhouette,plus), DBSCAN

# K-Means Clustering 연습 # 예제 출처 : Sebastian Raschka, 2015, Python Machine Learning (p. 312) # -------------------------------------------------------------------- from sklearn.datasets import make_blobs import matplotlib.pyplot as plt from sklearn.cluster import KMeans # 시험용 데이터 세트를 구성한다 X, y = make_blobs(n_samples=150, n_features=2, centers=3, cluster_std=0.5, shuffle=True, random_state=0) # 시험용 데이터를 2차원 좌표에 표시한다 plt.figure(figsize=(8, 6)) plt.scatter(X[:,0], X[:,1], marker='o', s=100, alpha=0....

원문링크 : k-means(bolds,elbow,mnist,silhouette,plus), DBSCAN