ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and K-Medoids Clustering
Version 1.0.5

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions.

AuthorLampros Mouselimis <mouselimislampros@gmail.com>
Date of publication2017-02-11 10:26:36
MaintainerLampros Mouselimis <mouselimislampros@gmail.com>
LicenseMIT + file LICENSE
Version1.0.5
URL https://github.com/mlampros/ClusterR
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ClusterR")

Getting started

README.md
Functionality of the ClusterR package

Popular man pages

distance_matrix: Distance matrix calculation
entropy_formula: entropy formula (used in external_validation function)
external_validation: external clustering validation
KMeans_arma: k-means using the Armadillo library
MiniBatchKmeans: Mini-batch-k-means using RcppArmadillo
predict_MBatchKMeans: Prediction function for Mini-Batch-k-means
soybean: The soybean (large) data set from the UCI repository
See all...

All man pages Function index File listing

Man pages

center_scale: Function to scale and/or center the data
Clara_Medoids: Clustering large applications
Cluster_Medoids: Partitioning around medoids
dietary_survey_IBS: Synthetic data using a dietary survey of patients with...
distance_matrix: Distance matrix calculation
entropy_formula: entropy formula (used in external_validation function)
external_validation: external clustering validation
function_interactive: Interactive function for consecutive plots ( using...
GMM: Gaussian Mixture Model clustering
KMeans_arma: k-means using the Armadillo library
KMeans_rcpp: k-means using RcppArmadillo
MiniBatchKmeans: Mini-batch-k-means using RcppArmadillo
mushroom: The mushroom data
Optimal_Clusters_GMM: Optimal number of Clusters for the gaussian mixture models
Optimal_Clusters_KMeans: Optimal number of Clusters for k-means
Optimal_Clusters_Medoids: Optimal number of Clusters for the partitioning around...
plot_2d: 2-dimensional plots
predict_GMM: Prediction function for a Gaussian Mixture Model object
predict_KMeans: Prediction function for the k-means
predict_MBatchKMeans: Prediction function for Mini-Batch-k-means
predict_Medoids: Predictions for the Medoid functions
Silhouette_Dissimilarity_Plot: Plot of silhouette widths or dissimilarities
soybean: The soybean (large) data set from the UCI repository
tryCatch_GMM: tryCatch function to prevent armadillo errors
tryCatch_KMEANS_arma: tryCatch function to prevent armadillo errors in KMEANS_arma
tryCatch_optimal_clust_GMM: tryCatch function to prevent armadillo errors in...

Functions

Files

inst
inst/doc
inst/doc/the_clusterR_package.R
inst/doc/the_clusterR_package.Rmd
inst/doc/the_clusterR_package.html
tests
tests/testthat.R
tests/testthat
tests/testthat/test-plot2d_silhouette_plot_ext_validation_center_scale_dist_mat.R
tests/testthat/test-medoids.R
tests/testthat/test-kmeans.R
tests/testthat/test-gmm.R
tests/testthat/test-dissimilarity_matrices.R
src
src/Makevars
src/kmeans_miniBatchKmeans_GMM_Medoids.cpp
src/utils_rcpp.h
src/utils_rcpp.cpp
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
NEWS.md
data
data/dietary_survey_IBS.rda
data/soybean.rda
data/mushroom.rda
R
R/RcppExports.R
R/clustering_functions.R
vignettes
vignettes/Rplot.png
vignettes/elephant.jpg
vignettes/the_clusterR_package.Rmd
vignettes/Rplot_cluster.png
vignettes/dog.jpg
vignettes/Rplot_2d.png
vignettes/Rplot_clara.png
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/Cluster_Medoids.Rd
man/MiniBatchKmeans.Rd
man/Optimal_Clusters_KMeans.Rd
man/KMeans_arma.Rd
man/Optimal_Clusters_GMM.Rd
man/external_validation.Rd
man/tryCatch_optimal_clust_GMM.Rd
man/predict_KMeans.Rd
man/Clara_Medoids.Rd
man/mushroom.Rd
man/GMM.Rd
man/function_interactive.Rd
man/predict_GMM.Rd
man/KMeans_rcpp.Rd
man/distance_matrix.Rd
man/soybean.Rd
man/tryCatch_KMEANS_arma.Rd
man/center_scale.Rd
man/Optimal_Clusters_Medoids.Rd
man/predict_MBatchKMeans.Rd
man/tryCatch_GMM.Rd
man/entropy_formula.Rd
man/dietary_survey_IBS.Rd
man/plot_2d.Rd
man/predict_Medoids.Rd
man/Silhouette_Dissimilarity_Plot.Rd
LICENSE
ClusterR documentation built on May 19, 2017, 10:12 p.m.

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