我该如何规范矩阵？ [英] How do I standardize a matrix?

问题描述

基本上，采取矩阵并改变它，这样它的均值为0，方差为1。我使用numpy的的阵列，所以如果它已经可以做到这一点，最好的，但只要我能实现它自己，因为我可以找到一种算法。

Basically, take a matrix and change it so that its mean is equal to 0 and variance is 1. I'm using numpy's arrays so if it can already do it it's better, but I can implement it myself as long as I can find an algorithm.

编辑：NVM nimrodm有一个更好的实施

edit: nvm nimrodm has a better implementation

推荐答案

取每个元素，并与均值减去，然后用标准差除以。

Take each element and subtract with the mean and then divide by the standard deviation.

拍我，我不知道蟒蛇。一般上面是

Shoot me, I don't know python. In general the above is

mu = Average()
sig = StandardDeviation()
for(i=0;i<rows;i++)
{
   for(j=0;j<cols;j++)
   {
       A[i,j] = (A[i,j]-mu)/sig;
   }
}

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