dobin
Dimension Reduction for Outlier Detection
A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) doi:10.1080/10618600.2020.1807353.
- Version1.0.4
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release08/25/2022
Documentation
Team
Sevvandi Kandanaarachchi
Insights
Last 30 days
This package has been downloaded 203 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 5 times.
Last 365 days
This package has been downloaded 2,881 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 24, 2024 with 124 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.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests4 packages