Clustering via Quadratic Scoring

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Documentation for package ‘qcluster’ version 1.2.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

banknote	Swiss Banknotes Data
bqs	Bootstrapping quadratic scores
bqs_rank	Ranking Clusters Quadratic Scores Estimated Via Boostrap
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	Bootstrapping quadratic scores
qscore	Clustering Quadratic Score