计算两个矩阵的余弦相似度

Question

我已经定义了两个矩阵，如下所示：

from scipy import linalg, mat, dot
a = mat([-0.711,0.730])
b = mat([-1.099,0.124])

现在，我想计算这两个矩阵的余弦相似度。以下代码有什么问题。它给我一个objects are not aligned

的错误

c = dot(a,b)/np.linalg.norm(a)/np.linalg.norm(b)

Answer 1

您不能将1x2矩阵乘以1x2矩阵。为了计算两行之间的点积，必须转置第二行。

from scipy import linalg, mat, dot
a = mat([-0.711,0.730])
b = mat([-1.099,0.124])

c = dot(a,b.T)/linalg.norm(a)/linalg.norm(b)

Answer 2

也：

import numpy as np
import scipy.spatial.distance as distance
a = np.array([0.1, 0.2])
b = np.array([0.3,0.4])
c = 1 - distance.cosine(a, b)