import numpy as np
from sklearn.cluster import MeanShift, estimate_bandwidth
from sklearn.datasets.samples_generator import make_blobs


# Generate sample data
centers = [
    np.ones(200),
    -np.ones(200),
]
X, _ = make_blobs(n_samples=100, centers=centers, cluster_std=0.3, random_state=0)

ms = MeanShift(bin_seeding=True)

ms.fit(X)