Feature Scaling in Support Vector Data Descriptions

@inproceedings{David2003FeatureSI,
  title={Feature Scaling in Support Vector Data Descriptions},
  author={David and M. James and Tax and Robert and P. W.K. and Duin},
  year={2003}
}
In previous research the Support Vector Data Description is proposed to solve the problem of One-Class classification. In One-Class classification one set of data, called the target set, has to be distinguished from the rest of the feature space. This description should be constructed such that objects not originating from the target set, by definition the outlier class, are not accepted by the data description. In this paper the Support Vector Data Description is applied to the problem of… CONTINUE READING
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