summary.outliers: Summary of outliers

In odetector: Outlier Detection Using Partitioning Clustering Algorithms

Summary of outliers

Description

Summarizes the detected outliers for a data set.

Usage

## S3 method for class 'outliers'
summary(object, ...)

Arguments

object	an object of outliers class containing the outliers to be summarized. See detect.outliers for the details.
...	additional arguments for S3 method summary.

Value

Print out of the descriptive statistics for the outliers in an object of outliers class.

Author(s)

Zeynel Cebeci, Yalcin Tahtali, Cagatay Cebeci

See Also

detect.outliers, pairs.outliers, plot.outliers, print.outliers, remove.outliers

Examples

# Load the dataset x3p4c and extract the first three columns to x 
data(x3p4c)
x <- x3p4c[,1:3]

# For 4 clusters, run Unsupervised Possibilistic Fuzzy C-Means (UPFC) algorithm
# of the package ppclust 
res.upfc <- ppclust::upfc(x, centers=4)

# Detect the outliers 
out <- detect.outliers(res.upfc)
 
# Summarize the outliers
summary(out)

odetector documentation built on Nov. 10, 2022, 5:45 p.m.