rdop {fmds} | R Documentation |
Relative Density-based Outlier Probabilities Function
Description
rdop
returns the relative density-based outlier probabilities according to Barroso and Busing (2025).
Usage
rdop(data, k = 0, lambda = 3, extended = FALSE, alpha = 0.2, beta = 0.25)
Arguments
data |
a (rectangular, multivariate, n by m) data matrix or a (n by n ) distance matrix, in either case, the function continues with a full distance matrix |
k |
number of neighbors (default: sqrt( 2n )) |
lambda |
multiple of standard distance deviations to get probabilistic distances |
extended |
extended relative density-based probabilities |
alpha |
steepness parameter turning scores into weights |
beta |
halfway parameter turning scores into weights |
Value
if ( extended == FALSE ): outlier scores; else: weights matrix
Author(s)
Frank M.T.A. Busing
References
Barroso and Busing (2025).
[Package fmds version 0.1.5 Index]