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Mutual information is approved to be an effective method to analyze the correlation of physicochemical parameters with the symptoms and the syndromes and has been widely used in many applications. But there are some difficulties and weaknesses, i.e. the assumption of continuous attributes according with normal distribution, which is a hidden problem in the calculation. In this paper, rough set and...
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...
Entropy partition method for complex system has been applied in many kinds of fields. In this paper, we improve the calculation of correlative measure for continuous variables, and apply this method in neuro-endocrine-immune data collected from 400 Wistar rats. The partition result shows the corresponding rules of 5 vascular endothelial function related parameters and 21 NEI network related parameters...
In this paper, we present one entropy partition method and its ideal requirement for partition result, then apply this method in TCM (Traditional Chinese Medicine) data without understanding any expectation of the objectives. We propose the conception of N-class correlation in order to solve the computational problem successfully. The idea of RFS (relatives and friends set) and general filtering are...
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