EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

Documentation for package ‘EMCluster’ version 0.2-4

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

Help Pages

EMCluster-package	EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
.EMC	EM Control Generator and Controller
.EMC.Rnd	EM Control Generator and Controller
.EMC.Rndp	EM Control Generator and Controller
.EMControl	EM Control Generator and Controller
assign.class	Assign Class Id
class2Gamma	Convert Matrices in Different Format
da1	Dataset for demonstrations
da2	Dataset for demonstrations
da3	Dataset for demonstrations
dlmvn	Density of (Mixture) Multivariate Normal Distribution
dmixmvn	Density of (Mixture) Multivariate Normal Distribution
dmvn	Density of (Mixture) Multivariate Normal Distribution
e.step	Single E- and M-step
em.aic	Information Criteria for Model-Based Clustering
em.bic	Information Criteria for Model-Based Clustering
em.clc	Information Criteria for Model-Based Clustering
em.EM	Initialization and EM Algorithm
em.ic	Information Criteria for Model-Based Clustering
em.icl	Information Criteria for Model-Based Clustering
em.icl.bic	Information Criteria for Model-Based Clustering
EMCluster	EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
emcluster	EM Algorithm for model-based clustering
emgroup	Other Initializations
emobj object	EM Algorithm for model-based clustering
emret class	EM Algorithm for model-based clustering
exhaust.EM	Initialization and EM Algorithm
Gamma2class	Convert Matrices in Different Format
init.EM	Initialization and EM Algorithm
logL	Density of (Mixture) Multivariate Normal Distribution
LTsigma2var	Convert Matrices in Different Format
LTSigma2variance	Convert Matrices in Different Format
m.step	Single E- and M-step
myiris	Dataset for demonstrations
plot2d	Plot Two Dimensional Data with clusters
plotem	Plot Two Dimensional Data with clusters
plotmd	Plot Multivariate Data
print.emret	Functions for Printing or Summarizing Objects According to Classes
rand.EM	Initialization and EM Algorithm
RRand	Rand Index and Adjusted Rand Index
shortemcluster	EM Algorithm for model-based clustering
simple.init	EM Algorithm for model-based clustering
starts.via.svd	Other Initializations
summary.emret	Functions for Printing or Summarizing Objects According to Classes
summary.svd	Functions for Printing or Summarizing Objects According to Classes
var2LTsigma	Convert Matrices in Different Format
variance2LTSigma	Convert Matrices in Different Format