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sklearn.metrics.pairwise.paired_cosine_distances()

sklearn.metrics.pairwise.paired_cosine_distances(X, Y) [source]

Computes the paired cosine distances between X and Y

Read more in the User Guide.

Parameters:

X : array-like, shape (n_samples, n_features)

Y : array-like, shape (n_samples, n_features)

Returns:

distances : ndarray, shape (n_samples, )

Notes

The cosine distance is equivalent to the half the squared euclidean distance if each sample is normalized to unit norm

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html

doc_scikit_learn

2017-01-15 04:26:34

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