Robust Trimmed Clustering
Classification Trimmed Likelihood Curves
Discriminant Factor analysis for tclust
objects
Function to perform the E-step for a Gaussian mixture distribution
The plot
method for objects of class ctlcurves
The plot
method for objects of class DiscrFact
Plot an 'rlg' object
Plot Method for tclust
and tkmeans
Objects
The plot
method for objects of class tclustIC
Calculates Rand type Indices to compare two partitions
Robust Linear Grouping
Simulate contaminated data set for applying rlg
Simulate contaminated data set for applying TCLUST
The summary
method for objects of class DiscrFact
TCLUST method for robust clustering
Performs cluster analysis by calling tclust
for different number of ...
TKMEANS method for robust K-means 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.