EMCluster v0.2-12

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

EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

Readme

EMCluster

  • License: License
  • Download: Download
  • Author: Wei-Chen Chen and Ranjan Maitra

EMCluster is an R package providing EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

Installation

EMCluster requires

  • R version 3.0.0 or higher.
  • R package MASS, Matrix.

The package can be installed from the CRAN via the usual install.packages("EMCluster"), or via the devtools package:

library(devtools)
install_github("snoweye/EMCluster")

Functions in EMCluster

Name Description
Plot EM Results Plot Two Dimensional Data with clusters
Jaccard Index Jaccard Index
Print and Summary Functions for Printing or Summarizing Objects According to Classes
Recolor Classification IDs Recolor Classification IDs
EM Control EM Control Generator and Controller
Plot Multivariate Data Plot Multivariate Data
All Internal Functions All Internal Functions of EMCluster
MVN Density of (Mixture) Multivariate Normal Distribution
Conversion Convert Matrices in Different Format
Post I Information Functions Post I Information Functions of EMCluster
Rand Index Rand Index and Adjusted Rand Index
LMT Functions Likelihood Mixture Test (LMT) Functions of EMCluster
Projection On 2D Produce Projection on 2D
Plot Projection and Contour Plot Contour
Dataset Dataset for demonstrations
Initialization and EM Initialization and EM Algorithm
Other Initializations Other Initializations
EM Algorithm EM Algorithm for model-based clustering
EMCluster-package EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Likelihood Mixture Tests Likelihood Mixture Tests
Assign Class Assign Class Id
Single Step Single E- and M-step
Information Criteria Information Criteria for Model-Based Clustering
No Results!

Vignettes of EMCluster

Name
EMCluster-include/00-defs.tex
EMCluster-include/00-preamble.tex
EMCluster-include/01-acknowledgement.tex
EMCluster-include/01-introduction.tex
EMCluster-include/02-em_init.tex
EMCluster-include/03-example.tex
EMCluster-include/EMCluster.bib
EMCluster-include/allinit.pdf
EMCluster-include/allinit_ss.pdf
EMCluster-include/my_jss.cls
EMCluster-guide.Rnw
build_pdf.sh
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Details

Date 2019-03-07
LazyLoad yes
LazyData yes
License Mozilla Public License 2.0
BugReports https://github.com/snoweye/EMCluster/issues
URL https://github.com/snoweye/EMCluster
NeedsCompilation yes
Packaged 2019-03-21 04:22:10 UTC; snoweye
Repository CRAN
Date/Publication 2019-03-22 09:53:48 UTC

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