Package: EMCluster 0.2-16

EMCluster: 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.

Authors:Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb]

EMCluster_0.2-16.tar.gz
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EMCluster.pdf |EMCluster.html✨
EMCluster/json (API)

# Install 'EMCluster' in R:

install.packages('EMCluster', repos = c('https://snoweye.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/snoweye/emcluster/issues

Uses libs:

openblas– Optimized BLAS

Datasets:

.EMC - EM Control Generator and Controller
.EMC.Rnd - EM Control Generator and Controller
.EMC.Rndp - EM Control Generator and Controller
col.ppcontour - Likelihood Mixture Test (LMT) Functions of EMCluster
da1 - Dataset for demonstrations
da2 - Dataset for demonstrations
da3 - Dataset for demonstrations

On CRAN:

7.13 score 17 stars 1 packages 106 scripts 748 downloads 5 mentions 112 exports 3 dependencies

Last updated 2 months agofrom:4a5fa6b35e. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 07 2024
R-4.5-win-x86_64	OK	Nov 07 2024
R-4.5-linux-x86_64	OK	Nov 07 2024
R-4.4-win-x86_64	OK	Nov 07 2024
R-4.4-mac-x86_64	OK	Nov 07 2024
R-4.4-mac-aarch64	OK	Nov 07 2024
R-4.3-win-x86_64	OK	Nov 07 2024
R-4.3-mac-x86_64	OK	Nov 07 2024
R-4.3-mac-aarch64	OK	Nov 07 2024

Exports:.EMControl append.BN assign.class assign.class.wt bh.fdr check.dim check.dim.wt class2Gamma class2Gamma.wt create.cex create.colors dlmvn dmixmvn dmixmvn.wt dmvn draw.colors e.step e.step.wt em.aic em.bic em.clc em.EM em.ic em.icl em.icl.bic em.init em.Model emcluster emcluster.wt emgroup emgroup.wt exhaust.EM fill.ppcontour fill.ppmu fill.pppoints Gamma2class Gamma2class.wt GenDataSet GenMixDataSet get.cov.logit.PI get.cov.logit.z get.cov.param get.cov.post.z get.E.chi2 get.E.delta get.logor.stat getlist Gmat gridOne init.EM Iy Iy2 Jaccard.Index lmt logL logL.wt LTsigma2var LTSigma2variance m.step m.step.wt match.colcex mb.em.EM mb.rand.EM meandispersion my.cat my.format my.print partial.f.mu.s partial.logit.p partial.logL partial.post.z partial.post.z.1 partial.q pchisq.my plot2d plotbar plotBN plotem plotlikeprob plotmd plotp plotppcontour plotpt plotq postPI print.emret print.initret print.lmt print.RRandret print.summary.emret print.summary.svd print.svd project.on.2d q.map.new rand.EM recode recolor rematch RRand shortemcluster shortemcluster.wt simple.init starts.via.svd starts.via.svd.wt summary.emret summary.emret.wt summary.svd summary.svd.wt var2LTsigma variance2LTSigma w.2 wt2wot

Dependencies:lattice MASS Matrix

EMCluster-guide

Rendered fromEMCluster-guide.Rnwusingutils::Sweaveon Nov 07 2024.

Last update: 2021-03-08
Started: 2013-07-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution	EMCluster-package
Assign Class Id	assign.class
Convert Matrices in Different Format	class2Gamma Gamma2class LTsigma2var LTSigma2variance var2LTsigma variance2LTSigma
Dataset for demonstrations	da1 da2 da3
EM Algorithm for model-based clustering	emcluster emobj object emret class shortemcluster simple.init
EM Control Generator and Controller	.EMC .EMC.Rnd .EMC.Rndp .EMControl
Information Criteria for Model-Based Clustering	em.aic em.bic em.clc em.ic em.icl em.icl.bic
Initialization and EM Algorithm	em.EM exhaust.EM init.EM rand.EM
Jaccard Index	Jaccard.Index
Likelihood Mixture Tests	lmt
Likelihood Mixture Test (LMT) Functions of EMCluster	bh.fdr col.ppcontour fill.ppcontour fill.ppmu fill.pppoints GenDataSet GenMixDataSet get.E.chi2 get.E.delta Gmat gridOne Iy Iy2 partial.logL partial.q pchisq.my plotp plotq postPI print.lmt q.map.new w.2
Density of (Mixture) Multivariate Normal Distribution	dlmvn dmixmvn dmvn logL
Other Initializations	emgroup starts.via.svd
Plot Two Dimensional Data with clusters	plot2d plotem
Plot Multivariate Data	plotmd
Plot Contour	plotppcontour
Post I Information Functions of EMCluster	get.cov.logit.PI get.cov.logit.z get.cov.param get.cov.post.z get.logor.stat partial.f.mu.s partial.logit.p partial.post.z partial.post.z.1
Functions for Printing or Summarizing Objects According to Classes	print.emret summary.emret summary.svd
Produce Projection on 2D	project.on.2d
Rand Index and Adjusted Rand Index	RRand
Recolor Classification IDs	recode recolor rematch
Single E- and M-step	e.step m.step