Scipy cosine similarity

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

Scipy cosine similarity

from scipy.spatial import distance

distance.cosine([1, 0, 0], [0, 1, 0])
>>> 1.0

distance.cosine([100, 0, 0], [0, 1, 0])
>>> 1.0

distance.cosine([1, 1, 0], [0, 1, 0])
>>> 0.29289321881345254

Similar codes

0 vote282 views1 answer
Aes in django
Python
0 vote270 views1 answer
Check remote port is open or not using python
Python
5 votes302 views2 answers
How to add icon to tkinter window
Python
1 vote290 views1 answer
Np.multiply
Python
0 vote306 views1 answer
Accessing a variable from outside the function in python
Python
1 vote460 views5 answers
Last index in python
Python
0 vote268 views1 answer
Python format method align center
Python
0 vote272 views1 answer
Doc2text python example
Python
2 votes274 views1 answer
Python image black and white
Python
0 vote284 views2 answers
Save gif python
Python