chore: import upstream snapshot with attribution

examples/kmeans.py

@@ -0,0 +1,21 @@
+import numpy as np
+from sklearn.datasets import make_blobs
+
+from mla.kmeans import KMeans
+
+
+def kmeans_example(plot=False):
+    X, y = make_blobs(
+        centers=4, n_samples=500, n_features=2, shuffle=True, random_state=42
+    )
+    clusters = len(np.unique(y))
+    k = KMeans(K=clusters, max_iters=150, init="++")
+    k.fit(X)
+    k.predict()
+
+    if plot:
+        k.plot()
+
+
+if __name__ == "__main__":
+    kmeans_example(plot=True)