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EMCluster

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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")

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Version

Install

install.packages('EMCluster')

Monthly Downloads

1,097

Version

0.2-17

License

Mozilla Public License 2.0

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/snoweye/EMCluster

Maintainer

Wei-Chen Chen

Last Published

January 9th, 2025

Functions in EMCluster (0.2-17)

Rand Index and Adjusted Rand Index

EM Control Generator and Controller

Other Initializations

Other Initializations

Likelihood Mixture Test (LMT) Functions of EMCluster

Post I Information Functions

Post I Information Functions of EMCluster

Density of (Mixture) Multivariate Normal Distribution

EM Algorithm for model-based clustering

Projection On 2D

Produce Projection on 2D

Plot Projection and Contour

Convert Matrices in Different Format

Plot EM Results

Plot Two Dimensional Data with clusters

All Internal Functions

All Internal Functions of EMCluster

Print and Summary

Functions for Printing or Summarizing Objects According to Classes

Plot Multivariate Data

Plot Multivariate Data

Recolor Classification IDs

Recolor Classification IDs

Information Criteria

Information Criteria for Model-Based Clustering

Dataset for demonstrations

Initialization and EM

Initialization and EM Algorithm

Assign Class Id

Single E- and M-step

EMCluster-package

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

Likelihood Mixture Tests

Likelihood Mixture Tests