Fix output info
Signed-off-by: James Ketrenos <james_git@ketrenos.com>
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@ -54,7 +54,7 @@ def DBSCAN(points, eps = MAX_DISTANCE, minPts = MIN_PTS, verbose = True):
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sub_perc = -1
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sub_total = len(S)
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T = S
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T = S.copy()
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for j, Q in enumerate(S): # Process every seed point
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if verbose == True:
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sub_new_perc = int(100 * (j+1) / sub_total)
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@ -73,7 +73,7 @@ def DBSCAN(points, eps = MAX_DISTANCE, minPts = MIN_PTS, verbose = True):
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N = RangeQuery(points, Q, eps) # Find neighbors
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if len(N) >= minPts: # Density check (if Q is a core point)
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T = Union(T, N) # Add new neighbors to seed set
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S = T
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return clusters
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def RangeQuery(points, Q, eps):
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