RaPKod (0.9)

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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 .

Maintainer: Jeremie Kellner
Author(s): Jeremie Kellner

License: GPL (>= 2.0)

Uses: kernlab, MASS, proxy, Rcpp

Released over 2 years ago.



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