8000 DOC: use notebook-style for plot_mean_shift.py by gaborberei · Pull Request #22713 · scikit-learn/scikit-learn · GitHub
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DOC: use notebook-style for plot_mean_shift.py #22713

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Merged
merged 2 commits into from
Mar 9, 2022
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DOC: use notebook-style for plot_mean_shift.py #22713

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6d7fde3
formating documentation
gaborberei Mar 7, 2022
cb6340d
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lesteve Mar 9, 2022
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9 changes: 6 additions & 3 deletions examples/cluster/plot_mean_shift.py
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Expand Up @@ -15,13 +15,15 @@
from sklearn.cluster import MeanShift, estimate_bandwidth
from sklearn.datasets import make_blobs

# #############################################################################
# %%
# Generate sample data
# --------------------
centers = [[1, 1], [-1, -1], [1, -1]]
X, _ = make_blobs(n_samples=10000, centers=centers, cluster_std=0.6)

# #############################################################################
# %%
# Compute clustering with MeanShift
# ---------------------------------

# The following bandwidth can be automatically detected using
bandwidth = estimate_bandwidth(X, quantile=0.2, n_samples=500)
Expand All @@ -36,8 +38,9 @@

print("number of estimated clusters : %d" % n_clusters_)

# #############################################################################
# %%
# Plot result
# -----------
import matplotlib.pyplot as plt
from itertools import cycle

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