/Python/Affinity propagation cosine similarity python

Affinity propagation cosine similarity python

# credit to Stack Overflow user in the source link
import numpy as np
from sklearn.metrics.pairwise import cosine_distances

# some dummy data
word_vectors = np.random.random((77, 300))

word_cosine = cosine_distances(word_vectors)
affprop = AffinityPropagation(affinity = 'precomputed', damping = 0.5)
af = affprop.fit(word_cosine)

Source: stackoverflow.com

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