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wmlba/dbscan_outlier.py

Created March 5, 2019 11:30
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dbscan_outlier.py
from sklearn.cluster import DBSCAN
seed(1)
random_data = np.random.randn(50000,2) * 20 + 20
outlier_detection = DBSCAN(min_samples = 2, eps = 3)
clusters = outlier_detection.fit_predict(random_data)
list(clusters).count(-1)
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