/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 vote324 views1 answer
"api_view" is not definedPylance
Python
1 vote363 views1 answer
Print list vertically in python with loop
Python
-1 vote306 views1 answer
What will be the output of the following python code? print("abc. def".capitalize())
Python
3 votes348 views2 answers
Python save a dictionary as an object
Python
13 votes314 views2 answers
Sys get current pythonpath
Python
0 vote329 views1 answer
Malware with python
Python
0 vote372 views1 answer
How to send file in django response
Python Django
0 vote332 views1 answer
Pyplot common labels
Python
1 vote346 views1 answer
Test cuda pytorch
Python
0 vote669 views1 answer
Recurrent neural network pytorch
Python