I have the matrix U and I want to calculate the matrix W. Which the fastest way to find the similarity?
Here my code:
u = [[0.13,0.02,-0.01],
[0.41,0.07,-0.03],
[0.55,0.09,-0.04],
[0.68,0.11,-0.05]]
n=4
m=6
W = numpy.zeros(shape=(n,n))
for k in range(0, n - 1):
W[k][k]=1
for i in range(k + 1, n):
similarity = 0
for j in range(0, m):
similarity += abs(u[k][j] - u[i][j])
W[i][k]=1 - similarity
W[k][i]=(1 - similarity)
W[n - 1][n - 1] = 1
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