Robust Trimmed Clustering
Plot Method for tclust and tkmeans Objects
TCLUST method for robust clustering
Performs cluster analysis by calling tclust for different number of ...
TKMEANS method for robust K-means clustering
Classification Trimmed Likelihood Curves
Plot an 'rlg' object
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
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
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.