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The data in the process of power plant are mostly continuous. Aimed at the problems existing in the discretization of the continuous attributes with associated relationship, a strategy combining k-means clustering algorithm and the degree of compatibility of the decision table was proposed. The degree of compatibility was taken as judgment conditions to determine whether a new cluster type is added,...
Credit data, the data that describes the attributes of customer credit collected by enterprises or institutions, which contains a wealth of credit information, is the important basis of customer credit scoring. Using data mining technology to analyze the credit data and evaluate credit of customer has become a highly efficient method for customer credit estimation. Related research has become a hot...
Idiopathic generalized epilepsy (IGE) and symptomatic generalized epilepsy (SGE) are two kinds of generalized epilepsy. In this study, we discussed the methods of automatically segmentation of MR images for patients with these two kinds of epilepsy. K-Means clustering, expectation-maximization, and fuzzy c-means algorithms were employed to perform segmentation on brain images for patients with IGE...
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