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Scikit-Learn DBSCAN Clustering Setup
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Linked challenge: Casino Foot-Traffic Heatmap & Non-Gaming Revenue Spatial Predictor
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6
Sections
1
Linked challenge
Casino Foot-Traffic Heatmap & Non-Gaming Revenue Spatial Predictor
Prompt source
Original prompt text with formatting preserved for inspection.
6 lines
1 sections
No variables
0 checklist items
from sklearn.cluster import DBSCAN
import numpy as np
# Process 2D sensor array coordinates to find foot-traffic density hotspots
def find_dwell_hotspots(points, eps=3.0, min_samples=5):
db = DBSCAN(eps=eps, min_samples=min_samples).fit(points)
return db.labels_Adaptation plan
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