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tclust

Robust Trimmed Clustering

Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.

Functions (12)

DiscrFact

Discriminant Factor Analysis for tclust Objects

M5data

Mixture M5 Data

ctlcurves

Classification Trimmed Likelihood Curves

discr_coords

Discriminant coordinates/canonical variates of tclust objects

geyser2

Old Faithful Geyser Data

plot.DiscrFact

plot Method for DiscrFact Objects

plot.ctlcurves

plot Method for ctlcurves Objects

plot.tclust

plot Method for tclust Objects

summary.DiscrFact

summary Method for DiscrFact Objects

swissbank

SwissBankNotes Data

tclust

General Trimming Approach to Robust Cluster Analysis

tkmeans

Trimmed k-means Cluster Analysis

tclust

Robust Trimmed Clustering

v1.4-2
GPL-3
Authors
Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Initial release
2020-09-28

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