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Taking the example of designing classifier in intrusion detection system, this paper studies on samples selection problem for classifier and proposes a method fitting for large data set. First, use cluster analysis and the information known of classification to select boundary samples of each class. Then cluster for each class of the remaining non-border samples and adopt the method based on sample...
As the better generalization ability of clusterer ensemble methods, they are widely applied to diverse domains. But now many challenges still exist. One of the drawbacks of the ensemble is, ignoring the valuable information contained in the process of training component clusterers. This paper explores a new ensemble method for cluster analysis based on dynamic cooperation, and this method adjusts...
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