MIC最大信息数；用来表针变量的相关性大小（适用于线性和非线性情况）。MIC具有以下三条重要性质：1）如果变量x，y存在函数关系，则当样本增加时，MIC值趋于1；2）如果变量x，y可以有参数方程c(t)=[x(t),y(t)]所表达的曲线描述，则当样本增加时，MIC值必然趋于1；3）如果变量x,y相互独立，则当样本增加时，MIC值必然趋于0.-MIC maximum number of information　correlation to the size of the hands of variables (for linear and nonlinear case). MIC has the following three important properties: 1) If the variable x, y presence function, then when the sample increases, MIC values towards 1　2) If the variable x, y can have a parametric equation c (t) = [x (t curve representation), y (t)] are expressed when the sample is increased, MIC values inevitably tends to 1　3) If the variable x, y independently of one another, then when the sample is increased, MIC values inevitably tends to zero.