Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://scikit-learn.org/dev/modules/../auto_examples/cluster/plot_affinity_propagation.html below:

Demo of affinity propagation clustering algorithm — scikit-learn 1.8.dev0 documentation

Note

Go to the end to download the full example code. or to run this example in your browser via JupyterLite or Binder

Reference: Brendan J. Frey and Delbert Dueck, “Clustering by Passing Messages Between Data Points”, Science Feb. 2007

# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause

import numpy as np

from sklearn import metrics
from sklearn.cluster import AffinityPropagation
from sklearn.datasets import make_blobs

centers = [[1, 1], [-1, -1], [1, -1]]
X, labels_true = make_blobs(
    n_samples=300, centers=centers, cluster_std=0.5, random_state=0
)

Estimated number of clusters: 3
Homogeneity: 0.872
Completeness: 0.872
V-measure: 0.872
Adjusted Rand Index: 0.912
Adjusted Mutual Information: 0.871
Silhouette Coefficient: 0.753

import matplotlib.pyplot as plt

plt.close("all")
plt.figure(1)
plt.clf()

colors = plt.cycler("color", plt.cm.viridis(np.linspace(0, 1, 4)))

for k, col in zip(range(n_clusters_), colors):
    class_members = labels == k
    cluster_center = X[cluster_centers_indices[k]]
    plt.scatter(
        X[class_members, 0], X[class_members, 1], color=col["color"], marker="."
    )
    plt.scatter(
        cluster_center[0], cluster_center[1], s=14, color=col["color"], marker="o"
    )
    for x in X[class_members]:
        plt.plot(
            [cluster_center[0], x[0]], [cluster_center[1], x[1]], color=col["color"]
        )

plt.title("Estimated number of clusters: %d" % n_clusters_)
plt.show()

Total running time of the script: (0 minutes 0.289 seconds)

Related examples

Gallery generated by Sphinx-Gallery

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4