abodOutlier
Angle-Based Outlier Detection
Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1 |
rolling linux/jammy R-4.5 | abodOutlier_0.1.tar.gz |
13.6 KiB |
0.1 |
rolling linux/noble R-4.5 | abodOutlier_0.1.tar.gz |
13.5 KiB |
0.1 |
rolling source/ R- | abodOutlier_0.1.tar.gz |
3.1 KiB |
0.1 |
latest linux/jammy R-4.5 | abodOutlier_0.1.tar.gz |
13.6 KiB |
0.1 |
latest linux/noble R-4.5 | abodOutlier_0.1.tar.gz |
13.5 KiB |
0.1 |
latest source/ R- | abodOutlier_0.1.tar.gz |
3.1 KiB |
0.1 |
2026-04-26 source/ R- | abodOutlier_0.1.tar.gz |
3.1 KiB |
0.1 |
2026-04-23 source/ R- | abodOutlier_0.1.tar.gz |
3.1 KiB |
0.1 |
2026-04-09 windows/windows R-4.5 | abodOutlier_0.1.zip |
16.7 KiB |
0.1 |
2025-04-20 source/ R- | abodOutlier_0.1.tar.gz |
3.1 KiB |