/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

Similar codes

0 vote206 views1 answer
Re mobile no validate python
Python
0 vote223 views2 answers
Set environment variable heroku django
Python
0 vote205 views1 answer
Simulation?
Python
0 vote193 views1 answer
How do I know which animation is playing animation player
Python
1 vote177 views1 answer
Sort dataframe by date
Python
6 votes225 views1 answer
Python regex replace all non alphanumeric characters
Python
2 votes217 views1 answer
Python click buttons on websites
Python
0 vote202 views1 answer
NameError: name 'views' is not defined
Python
0 vote210 views1 answer
|select name and description powershell
Python
1 vote219 views1 answer
Numpy dot product
Python