K平均クラスタリングアニメーション
プロンプト
Animated explanation of K-means clustering: 2D data points scatter, place 3 centroids, points assign to nearest coloring clusters, centroids update to means, repeat until convergence. Labels and smooth motion.
Animated explanation of K-means clustering: 2D data points scatter, place 3 centroids, points assign to nearest coloring clusters, centroids update to means, repeat until convergence. Labels and smooth motion.