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RaPKod: Random Projection Kernel Outlier Detector
Kernel method that performs online outlier detection through random low-dimensional projections in a kernel space. Controls the probability of false alarm error. See Kellner J., "Gaussian models and kernel methods" (2016), PhD thesis for reference <https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/789d119a-6763-4205-972f-b318cd4fdb27>.
Getting started
Browse package contents
Package details |
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| Author | Jeremie Kellner |
| Maintainer | Jeremie Kellner <jeremie.kellner@ed.univ-lille1.fr> |
| License | GPL (>= 2.0) |
| Version | 0.9 |
| Package repository | View on CRAN |
| Installation |
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