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joaofig/run_DBSCAN_sklearn.py

Created August 19, 2018 14:41
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Running DBSCAN
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run_DBSCAN_sklearn.py
# Cluster the data
from sklearn.cluster import DBSCAN
earth_perimeter = 40070000.0 # In meters
eps_in_radians = eps_in_meters / earth_perimeter * (2 * math.pi)
uk_acc['cluster'] = DBSCAN(eps=eps_in_radians, min_samples=num_samples, metric='haversine').fit_predict(uk_acc[['rad_lat', 'rad_lng']])
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