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>.


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install.packages("RaPKod")

0.9 by Jeremie Kellner, a year ago


Browse source code at https://github.com/cran/RaPKod


Authors: Jeremie Kellner


Documentation:   PDF Manual  


GPL (>= 2.0) license


Imports Rcpp

Depends on proxy, kernlab, MASS

Linking to Rcpp, RcppArmadillo


See at CRAN