Meaning of negative mutual information From wiki, I know negative multiple mutual information exists. But I can't understand its meaning. Does someone help me have a better understand? For example, if I have three variables which have negative mutual information, if they have a lower mutual information, what's it mean?
Mutual information (MI) measures how much two variables are inter-dependent.
So, higher the MI, more similar the variables.
Two variables could be, for example, the intensity values of two greyscale images.
But many algorithms use the matching cost, i.e. how much two variables are different. Hence, the minus sign.
Mutual information (MI) measures how much two variables are inter-dependent.
So, higher the MI, more similar the variables.
Two variables could be, for example, the intensity values of two greyscale images.
But many algorithms use the matching cost, i.e. how much two variables are different. Hence, the minus sign.