mlpy.stats.sq_distance¶
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mlpy.stats.
sq_distance
(p, q, p_sos=None, q_sos=None)[source]¶ Efficiently compute squared Euclidean distances between stats of vectors.
Compute the squared Euclidean distances between every d-dimensional point in p to every d-dimensional point in q. Both p and q are n-point-by-n-dimensions.
Parameters: p : array_like, shape (n, dim)
Array where n is the number of points and dim is the number of dimensions.
q : array_like, shape (n, dim)
Array where n is the number of points and dim is the number of dimensions.
p_sos : array_like, shape (dim,)
q_sos : array_like, shape (dim,)
Returns: ndarray :
The squared Euclidean distance.
Examples
>>> sq_distance()