no code implementations • 12 Jun 2014 • Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama, Simon Malinowski, Ricardo Morla
Among unsupervised approaches, Principal Component Analysis (PCA) is a well-known solution which has been widely used in the anomaly detection literature and can be applied to matrix data (e. g. Users-Features).