Entropy partition method and its application for discrete variables and continuous variables

Entropy partition method for complex system has been applied in many ldnds of fields. In this paper, we improve the calculation of correlative measure for both discrete variables and continuous variables, and apply this method in vascular endothelial dysfunction (ED) discrete data and neuro-endocrine-immune (NEI) continuous data respectively. The partition results show this entropy partition methodpsilas broad availability and obvious advantage in dealing with complex, multiple, nonlinear data.