README.md
In dannymorris/outsiders: Multidimensional Outlier Detection
outsiders
outsiders is an R package for outlier analysis and anomaly detection of standard multidimensional data. Many of the techniques available in this package are inspired by Outlier Analysis (C. C. Aggarwal. Springer, 2017.).
Visit (https://dannymorris.github.io/outsiders/) for additional documentation
Installation
devtools::install_github("dannymorris/outsiders") for quick and easy installation
Current Techniques Available
- Attribute-wise Learning for Scoring Outliers (ALSO)
- Nearest Neighbors
- PCA Rotation Forest
- Distance to Clusters
dannymorris/outsiders documentation built on May 13, 2019, 1:22 p.m.
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outsiders
outsiders is an R package for outlier analysis and anomaly detection of standard multidimensional data. Many of the techniques available in this package are inspired by Outlier Analysis (C. C. Aggarwal. Springer, 2017.).
Visit (https://dannymorris.github.io/outsiders/) for additional documentation
Installation
devtools::install_github("dannymorris/outsiders") for quick and easy installation
Current Techniques Available
- Attribute-wise Learning for Scoring Outliers (ALSO)
- Nearest Neighbors
- PCA Rotation Forest
- Distance to Clusters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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