R: Robust Model-Based Clustering

# Robust Model-Based Clustering

## Documentation for package ‘otrimle’ version 2.0

- DESCRIPTION file
- Package NEWS

## Help Pages

banknote | Swiss Banknotes Data
generator.otrimle | Generates random data from OTRIMLE output model
InitClust | Robust Initialization for Model-based Clustering Methods
kerndenscluster | Aggregated distance to elliptical unimodal density over clusters
kerndensmeasure | Statistic measuring closeness to symmetric unimodal distribution
kerndensp | Closeness of multivariate distribution to elliptical unimodal distribution
kmeanfun | Mean and standard deviation of unimodality statistic
ksdfun | Mean and standard deviation of unimodality statistic
otrimle | Optimally Tuned Robust Improper Maximum Likelihood Clustering
otrimleg | OTRIMLE for a range of numbers of clusters with density-based cluster quality statistic
otrimlesimg | Adequacy approach for number of clusters for OTRIMLE
plot.otrimle | Plot Methods for OTRIMLE Objects
plot.rimle | Plot Methods for RIMLE Objects
plot.summary.otrimlesimgdens | Adequacy approach for number of clusters for OTRIMLE
print.otrimle | Optimally Tuned Robust Improper Maximum Likelihood Clustering
print.rimle | Robust Improper Maximum Likelihood Clustering
print.summary.otrimlesimgdens | Adequacy approach for number of clusters for OTRIMLE
rimle | Robust Improper Maximum Likelihood Clustering
summary.otrimlesimgdens | Adequacy approach for number of clusters for OTRIMLE