A package implementing a vantage-point data structure, for efficient nearest neighbor searching.
This package contains an implementation of a vantage-point tree data structure.
Simply install through pip:
pip install vptree
import numpy as np import vptree # Define distance function. def euclidean(p1, p2): return np.sqrt(np.sum(np.power(p2 - p1, 2))) # Generate some random points. points = np.random.randn(20000, 10) query = [.5] * 10 # Build tree in O(n log n) time complexity. tree = vptree.VPTree(points, euclidean) # Query single point. tree.get_nearest_neighbor(query) # Query n-points. tree.get_n_nearest_neighbors(query, 10) # Get all points within certain distance. tree.get_all_in_range(query, 3.14)
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