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
Documentation
Team
Koji Makiyama
Insights
Last 30 days
This package has been downloaded 138 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,774 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 29 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages
- Suggests6 packages