Normalization

Damn I am so proud of myself, I came up with this formula myself. $x$ is a vector. I think this is use in ML?

$x_{normalized}=\frac{x-\min (x)}{\max (x)-\min (x)}$

There is a simpler way to normalize, which is $x=\frac{x_i}{\sum x_i}$

I have also seen from here $x_{normalized}=\frac{x}{\max (x)}$

Multinomial Distribution → Multinomial probability distribution