HTN20190109 https://blog.hatena.ne.jp/HTN20190109/ HTN20190109の日記 https://htn20190109.hatenablog.com/ DL import numpy as np def compute_distances(X, centroids): n_data = X.shape[0] k = centroids.shape[0] distances = np.zeros((n_data, k)) for i in range(k): distances[:, i] = np.sqrt(np.sum((X - centroids[i])**2, axis=1)) return distances def init_centroid(X, k): n_data = X.shape[0] idx = np.random.choic… 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F04%2F16%2F234323" title="k-means++ - HTN20190109の日記" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> Hatena Blog https://hatena.blog 2026-04-16 23:43:23 rich https://htn20190109.hatenablog.com/entry/2026/04/16/234323 1.0 100%