Source code for pml.utils.distance_utils

# Copyright (C) 2012 David Rusk
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"""
Algorithms for calculating distances between vectors in feature (n) space.

@author: drusk
"""

import numpy as np

[docs]def euclidean(vector1, vector2): """ Calculates the Euclidean distance between two vectors in n-space. Args: vector1: start point vector vector2: end point vector Returns: The distance (magnitude) between vector1 and vector2. """ return np.sqrt(np.power(np.asarray(vector1) - np.asarray(vector2), 2).sum())

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