Clustering via Quadratic Scoring


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Documentation for package ‘qcluster’ version 1.2.1

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