R: Robust Trimmed Clustering

# Robust Trimmed Clustering

## Documentation for package ‘tclust’ version 1.3-1

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

## Help Pages

tclust-package | General Trimmed Cluster Analysis
ctlcurves | Classification Trimmed Likelihood Curves
DiscrFact | Discriminant Factor Analysis for tclust Objects
discr_coords | Discriminant coordinates/canonical variates of tclust objects
geyser2 | Old Faithful Geyser Data
M5data | Mixture M5 Data
plot.ctlcurves | plot Method for ctlcurves Objects
plot.DiscrFact | plot Method for DiscrFact Objects
plot.tclust | plot Method for tclust Objects
plot.tkmeans | plot Method for tclust Objects
plot_DiscrFact_p2 | plot Method for DiscrFact Objects
plot_DiscrFact_p3 | plot Method for DiscrFact Objects
print.ctlcurves | Classification Trimmed Likelihood Curves
print.DiscrFact | Discriminant Factor Analysis for tclust Objects
print.tclust | General Trimming Approach to Robust Cluster Analysis
summary.DiscrFact | summary Method for DiscrFact Objects
swissbank | SwissBankNotes Data
tclust | General Trimming Approach to Robust Cluster Analysis
tkmeans | Trimmed k-means Cluster Analysis