To calculate MI, the joint probabilistic density and the marginal probabilistic densities of the two vectors were used. A parameter t is introduced here to deal with these variables. Suppose mean to be the average value of one feature in all samples, and std to be the standard deviation, the feature of each sample would be classified into one of the three groups according to the boundaries: mean+(t : std). In our study, t was assigned to be 1.