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Usage example file

aucc_use.py

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+from sklearn import metrics
+from sklearn.metrics import pairwise_distances
+from sklearn import datasets
+from sklearn.cluster import KMeans
+
+import numpy as np
+
+from aucc import aucc
+
+# As usage example, we use the same code employed for Silhouette in scikit-learn
+# available at: https://scikit-learn.org/stable/modules/clustering.html#silhouette-coefficient
+
+X, y = datasets.load_iris(return_X_y=True)
+kmeans_model = KMeans(n_clusters=3, random_state=1, n_init='auto').fit(X)
+labels = kmeans_model.labels_
+print(aucc(X, labels, metric='euclidean'))