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Reducing the feature dimensionality can improve the computational efficiency of electrocardiogram (ECG) beats classification system. In the long term ECG classification task, vector quantization has demonstrated its advantage in both dimensionality reduction and accuracy increase, but the existing vector quantization methods are not capable of representing the difference of each waveform among ECG...
Classifying imbalanced dataset has recently become an important problem in many industrial and financial applications. In this paper, a novel method for combing minority detection algorithm and solving optimization problem to classify imbalanced dataset was presented. We empirically evaluate the proposed approach using a number of UCI datasets, and experiment results show that our novel method is...
Minority identification is an important issue in network security and financial applications. This paper considers the direct maximum reachability distance of an object and the indirect minimum reachability distance of an object for measuring the degree of an object being minority. The data classification is performed by an optimized combination model. We empirically evaluate the proposed approach...
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