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As a powerful tool in machine learning, Support Vector Machine(SVM) also suffers from expensive computational cost in the training phase due to the large number of original training samples. To overcome this problem, this paper presents a new method based on a two steps of sample reduction to reduce training samples. This algorithm includes cluster detection by Fuzzy C-Means Clustering (FCM) Cluster...
To design a fuzzy rule-based modeling framework with good generalization ability has been an active research topic for a long time. As a powerful machine learning approach for function approximation and regression estimation problems, support vector regression (SVR) is known to have good generalization ability. In this paper, we adopt the FCM clustering algorithm to group data patterns into clusters,...
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