Sparse Gaussian Markov Random Field Mixtures for Anomaly
Detection
Description
An implementation of sparse Gaussian Markov random field mixtures
presented by Ide et al. (2016) .
It provides a novel anomaly detection method for multivariate noisy sensor data.
It can automatically handle multiple operational modes.
And it can also compute variable-wise anomaly scores.