sGMRFmix v0.3.0
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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.
Functions in sGMRFmix
| Name | Description | |
| generate_train_data | Generate train data | |
| compute_anomaly_score | Compute anomaly scores | |
| generate_test_labels | Generate test labels | |
| sGMRFmix | Sparse Gaussian Markov Random Field Mixtures | |
| generate_test_data | Generate test data | |
| plot_multivariate_data | Plot multivariate data | |
| No Results! | ||
Vignettes of sGMRFmix
| Name | ||
| sGMRFmix.Rmd | ||
| No Results! | ||
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Details
| Type | Package |
| License | MIT + file LICENSE |
| Encoding | UTF-8 |
| LazyData | true |
| RoxygenNote | 6.0.1 |
| VignetteBuilder | knitr |
| NeedsCompilation | no |
| Packaged | 2018-04-16 09:00:00 UTC; kmakiyam |
| Repository | CRAN |
| Date/Publication | 2018-04-16 09:27:39 UTC |
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[](http://www.rdocumentation.org/packages/sGMRFmix)
