R: Clustering via Quadratic Scoring

# Clustering via Quadratic Scoring

## Documentation for package ‘qcluster’ version 2.0.0

- DESCRIPTION file
- Package NEWS

## Help Pages

qcluster-package | qcluster: Clustering via Quadratic Scoring
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