Robust Trimmed Clustering

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Documentation for package ‘tclust’ version 2.0-4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

ctlcurves	Classification Trimmed Likelihood Curves
DiscrFact	Discriminant Factor analysis for 'tclust' objects
geyser2	Old Faithful Geyser Data
LG5data	LG5data data
M5data	M5data data
pine	Pinus nigra dataset
plot.ctlcurves	The 'plot' method for objects of class 'ctlcurves'
plot.DiscrFact	The 'plot' method for objects of class 'DiscrFact'
plot.rlg	Plot an 'rlg' object
plot.tclust	Plot Method for 'tclust' and 'tkmeans' Objects
plot.tkmeans	Plot Method for 'tclust' and 'tkmeans' Objects
print.ctlcurves	Classification Trimmed Likelihood Curves
print.DiscrFact	Discriminant Factor analysis for 'tclust' objects
print.tclust	TCLUST method for robust clustering
print.tkmeans	TKMEANS method for robust K-means clustering
rlg	Robust Linear Grouping
simula.rlg	Simulate contaminated data set for applying rlg
simula.tclust	Simulate contaminated data set for applying TCLUST
summary.DiscrFact	The 'summary' method for objects of class 'DiscrFact'
swissbank	Swiss banknotes data
tclust	TCLUST method for robust clustering
tkmeans	TKMEANS method for robust K-means clustering
wholesale	Wholesale customers dataset