sGMRFmix
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection
An implementation of sparse Gaussian Markov random field mixtures presented by Ide et al. (2016) doi:10.1109/ICDM.2016.0119. 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.
- Version0.3.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release04/16/2018
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Team
Koji Makiyama
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