OutlierPCOut-class: Class "OutlierPCOut" - Outlier identification in high dimensions using using the PCOUT algorithm
Description
Holds the results of outlier identification using the PCOUT algorithm.
Arguments
Objects from the Class
Objects can be created by calls of the form new("OutlierPCOut", ...) but the
usual way of creating OutlierPCOut objects is a call to the function
OutlierPCOut() which serves as a constructor.
Slots
covobj:
A list containing intermediate results of the PCOUT algorithm for each class
call, counts, grp, wt,
flag, method, singularity:
from the "'>Outlier" class.
Extends
Class "'>Outlier", directly.
Methods
getCutoff
Return the cutoff value used to identify outliers
getDistance
Return a vector containing the computed distances
plot
Plot the results of the outlier detection process
References
P. Filzmoser, R. Maronna and M. Werner (2008),
Outlier identification in high dimensions,
Computational Statistics & Data Analysis, Vol. 52 1694--1711.
P. Filzmoser & V. Todorov (2012),
Robust tools for the imperfect world,
To appear.