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One-class support vector machine (OC-SVM), which is proposed to deal with the problems of classification, intends to find the smallest hyper-sphere containing the positive data. As for the test point, one-class SVM only judges it whether the test point belongs to that cluster. So OCSVM is often used in anomaly detection. But in the algorithm proposed in this paper, we first adopt shared nearest neighbor...
In order to improve the performance of time-series classification, we introduce a new approach of time series classification. The first basic idea of the approach is to use entropy impurity measure to discretize and symbolize time series, which discretize the original time series into disjoint intervals using entropy impurity measure and then transform the time series into symbolic representations...
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