Machine Learning, Artificial Intelligence, Technology, Python, Data Science.
TSNE(n_components=3, random_state=0) X_tsne = tsne.fit_transform(X) # Visualize the results on 3D plane fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') scatter = ax.scatter(X_tsne[:, 0], X_tsne[:, 1], X_tsne[:, 2], c=y, edgecolor='none', alpha=0.7,