1. Enhancing one-class support vector machines for unsupervised anomaly detection;Amer,2013
2. Summarizing arbitrary shape clustering using gaussian mixture mode;Bigdeli,2014
3. A fast and noise resilient cluster-based anomaly detection;Bigdeli,2015
4. A fast noise resilient anomaly detection using GMM-based collective labelling;Bigdeli,2015
5. LOF: identifying density-based local outliers;Breunig,2000