rdop: Relative Density-based Outlier Probabilities Function

In fmds: Multidimensional Scaling Development Kit

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).

fmds documentation built on June 8, 2025, 1:34 p.m.