Cosine similarity python

from numpy import dot
from numpy.linalg import norm

def cosine_similarity(list_1, list_2):
  cos_sim = dot(list_1, list_2) / (norm(list_1) * norm(list_2))
  return cos_sim

Cosine similarity python numpy

from scipy import spatial

dataSetI = [3, 45, 7, 2]
dataSetII = [2, 54, 13, 15]
result = 1 - spatial.distance.cosine(dataSetI, dataSetII)

Source: stackoverflow.com

Cosine Similarity numpy

np.inner(a, b) = sum(a[:]*b[:])

Source: numpy.org

Similar codes

16 votes167 views2 answers
Python reimport module
Python
2 votes181 views1 answer
Pandas remame a no name column
Python
0 vote216 views1 answer
Python time in nanoseconds
Python
2 votes229 views2 answers
Python list to string without brackets
Python
0 vote180 views1 answer
How to use startswith() with list
Python
0 vote114 views1 answer
2d list input in python
Python
2 votes152 views2 answers
Check string similarity python
Python
0 vote195 views1 answer
Xlrd documentation
Python
5 votes196 views1 answer
3d pie chart in python
Python
41 votes233 views6 answers
Pandas replace empty string with nan
Python