Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model

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Documentation for package ‘pmclust’ version 0.2-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

pmclust-package	Parallel Model-Based Clustering
.PMC.CT	A Set of Controls in Model-Based Clustering.
.pmclustEnv	Set Global Variables According to the global matrix X.gbd (X.spmd)
aecm.step	EM-like Steps for GBD
apecm.step	EM-like Steps for GBD
apecma.step	EM-like Steps for GBD
assign.N.sample	Obtain a Set of Random Samples for X.spmd
CHECK	Read Me First Function
CLASS.spmd	Read Me First Function
COMM.RANK	Read Me First Function
COMM.SIZE	Read Me First Function
CONTROL	A Set of Controls in Model-Based Clustering.
e.step	Compute One E-step and Log Likelihood Based on Current Parameters
em.onestep	One EM Step for GBD
em.step	EM-like Steps for GBD
em.update.class	Update CLASS.spmd Based on the Final Iteration
ETA	A Set of Parameters in Model-Based Clustering.
generate.basic	Generate Examples for Testing
generate.MixSim	Generate MixSim Examples for Testing
get.CLASS	Obtain Total Elements for Every Clusters
get.N.CLASS	Obtain Total Elements for Every Clusters
indep.logL	Independent Function for Log Likelihood
initial.center	Initialization for EM-like Algorithms
initial.em	Initialization for EM-like Algorithms
initial.RndEM	Initialization for EM-like Algorithms
kmeans.step	EM-like Steps for GBD
kmeans.update.class	Update CLASS.spmd Based on the Final Iteration
m.step	Compute One M-Step Based on Current Posterior Probabilities
mb.print	Print Results of Model-Based Clustering
MU	A Set of Parameters in Model-Based Clustering.
p.times.logtwopi	Read Me First Function
PARAM	A Set of Parameters in Model-Based Clustering.
PARAM.org	A Set of Parameters in Model-Based Clustering.
pkmeans	Parallel Model-Based Clustering and Parallel K-means Algorithm
pmclust	Parallel Model-Based Clustering and Parallel K-means Algorithm
print.pkmeans	Functions for Printing or Summarizing Objects According to Classes
print.pmclust	Functions for Printing or Summarizing Objects According to Classes
readme	Read Me First Function
SAVE.iter	Read Me First Function
SAVE.param	Read Me First Function
set.global	Set Global Variables According to the global matrix X.gbd (X.spmd)
set.global.gbd	Set Global Variables According to the global matrix X.gbd (X.spmd)
SIGMA	A Set of Parameters in Model-Based Clustering.
U.spmd	Read Me First Function
W.spmd	Read Me First Function
W.spmd.rowSums	Read Me First Function
X.gbd	Set Global Variables According to the global matrix X.gbd (X.spmd)
X.spmd	Set Global Variables According to the global matrix X.gbd (X.spmd)
Z.colSums	Read Me First Function
Z.spmd	Read Me First Function