Categorical anomaly detection in heterogeneous data using minimum description length clustering

James Cheney, Xavier Gombau, Ghita Berrada +1

Fast and effective unsupervised anomaly detection algorithms have been proposed for categorical data based on the minimum description length (MDL) principle. However, they can be i…