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Support Vector Machine refers to "a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis."

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Novelty and Outlier Detection for Multi-label Data

As far as I know, using a one-class SVM could be used to detect outliers, if you can define what the outliers (or conversely normal data) would look like. … In that case, you can train an SVM with labels "normal" and "outlier", and use it to differentiate. Have you tried using a density based approach? …
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