Compute outlying measures based on a proximity matrix.

Usage

# S3 method for default
outlier(x, cls=NULL, ...)
# S3 method for randomForest
outlier(x, ...)

Value

A numeric vector containing the outlying measures. The outlying
measure of a case is computed as n / sum(squared proximity), normalized by
subtracting the median and divided by the MAD, within each class.

Arguments

x

a proximity matrix (a square matrix with 1 on the diagonal
and values between 0 and 1 in the off-diagonal positions); or an object of
class randomForest, whose type is not
regression.

cls

the classes the rows in the proximity matrix belong to. If
not given, all data are assumed to come from the same class.