November 2017
Intermediate to advanced
374 pages
10h 19m
English
%matplotlib inlineimport matplotlib.pyplot as plt f, ax = plt.subplots(figsize=(7, 5))colors = ['r', 'g', 'b']for i in range(3): p = blobs[ground_truth == i] ax.scatter(p[:,0], p[:,1], c=colors[i], label="Cluster {}".format(i))ax.set_title("Cluster With Ground Truth")ax.legend()

kmeans = cluster.KMeans(n_clusters=3)kmeans.fit(blobs)KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300, n_clusters=3, n_init=10, n_jobs=1, precompute_distances='auto', random_state=None, ...
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