banknote                Swiss Banknotes Data
bqs                     Bootstrapping quadratic scores
bqs_rank                Ranking Clusters Quadratic Scores Estimated Via
                        Bootstrap
bqs_select              Select Ranked Cluster Solutions by Quadratic
                        Score
clust2params            Converts Hard Assignment Into Cluster
                        Parameters
gmix                    Gaussian Mixture Modelling
mbind                   Combines Methods Settings
mset_gmix               Generates Methods Settings for Gaussian Mixture
                        Model-Based Clustering
mset_kmeans             Generates Methods Settings for K-Means
                        Clustering
mset_pam                Generates Methods Settings for Partitioning
                        Around Medoids (Pam) Clustering
mset_user               Generates Clustering Methods Settings for a
                        Prototype Methodology Provided by the User
plot.bqs                Plot (Bootstrap) Quadratic Score Results
plot.mbcfit             Plot Fitted Mixture Models
plot_clustering         Plot Data With Clustering Information
predict.mbcfit          Predict Hard Clustering Assignments for using
                        Mixture Models
print.bqs               Display Information on Bootstrap Quadratic
                        Scores Objects
print.mbcfit            Display Information for Mixture Model Objects
qcluster                qcluster: Clustering via Quadratic Scoring
qscore                  Clustering Quadratic Score
