Uploaded Test files

venv/Lib/site-packages/sklearn/cluster/tests/common.py

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+"""
+Common utilities for testing clustering.
+
+"""
+
+import numpy as np
+
+
+###############################################################################
+# Generate sample data
+
+def generate_clustered_data(seed=0, n_clusters=3, n_features=2,
+                            n_samples_per_cluster=20, std=.4):
+    prng = np.random.RandomState(seed)
+
+    # the data is voluntary shifted away from zero to check clustering
+    # algorithm robustness with regards to non centered data
+    means = np.array([[1, 1, 1, 0],
+                      [-1, -1, 0, 1],
+                      [1, -1, 1, 1],
+                      [-1, 1, 1, 0],
+                     ]) + 10
+
+    X = np.empty((0, n_features))
+    for i in range(n_clusters):
+        X = np.r_[X, means[i][:n_features]
+                  + std * prng.randn(n_samples_per_cluster, n_features)]
+    return X