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One of the most important issues of One-Class Classification (OCC) algorithm is how to capture the characteristics of the positive class. Existing structural or clustering based ensemble OCC algorithms build description models for every cluster of the training dataset. However, the introduction of clustering algorithm also causes some problems, such as the determination of the number of clusters and...
One-Class Classification (OCC) is an important machine learning task. It studies a special classification problem that training samples from only one class, named target class, are available or reliable. Recently, various OCC algorithms have been proposed, however many of them do not adequately deal with multi-modality, multi-density, the noise and arbitrarily shaped distributions of the target class...
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