INNER CODE UNIT · Python

seed_set

TheAlgorithms/Jupyter · machine_learning/dbscan/dbscan.py:249

                seed_set = seed_set + neighbors_n
    return db, clusters


if __name__ == "__main__":

    fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(7, 5))

    x, label = make_moons(n_samples=200, noise=0.1, random_state=19)

    axes[0].plot(x[:, 0], x[:, 1], "ro")

    points = {(point[0], point[1]): {"label": "undefined"} for point in x}

    eps = 0.25

    min_pts = 12

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