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mclust (version 5.4.3)

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Description

Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.

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Version

Install

install.packages('mclust')

Monthly Downloads

74,004

Version

5.4.3

License

GPL (>= 2)

Maintainer

Luca Scrucca

Last Published

March 14th, 2019

Functions in mclust (5.4.3)

MclustDA

MclustDA discriminant analysis
MclustDRsubsel

Subset selection for GMMDR directions based on BIC.
acidity

Acidity data
chevron

Simulated minefield data
clPairs

Pairwise Scatter Plots showing Classification
classError

Classification error
combMat

Combining Matrix
Mclust

Model-Based Clustering
clustCombi

Combining Gaussian Mixture Components for Clustering
MclustBootstrap

Resampling-based Inference for Gaussian finite mixture models
clustCombi-internal

Internal clustCombi functions
defaultPrior

Default conjugate prior for Gaussian mixtures.
combiPlot

Plot Classifications Corresponding to Successive Combined Solutions
emControl

Set control values for use with the EM algorithm.
clustCombiOptim

Optimal number of clusters obtained by combining mixture components
cvMclustDA

MclustDA cross-validation
decomp2sigma

Convert mixture component covariances to matrix form.
emE

EM algorithm starting with E-step for a parameterized Gaussian mixture model.
densityMclust

Density Estimation via Model-Based Clustering
icl

ICL for an estimated Gaussian Mixture Model
gmmhd

Identifying Connected Components in Gaussian Finite Mixture Models for Clustering
dens

Density for Parameterized MVN Mixtures
imputeData

Missing data imputation via the mix package
entPlot

Plot Entropy Plots
mclust1Dplot

Plot one-dimensional data modeled by an MVN mixture.
densityMclust.diagnostic

Diagnostic plots for mclustDensity estimation
errorBars

Draw error bars on a plot
hdrlevels

Highest Density Region (HDR) Levels
majorityVote

Majority vote
logLik.MclustDA

Log-Likelihood of a MclustDA object
mclust2Dplot

Plot two-dimensional data modelled by an MVN mixture.
hc

Model-based Hierarchical Clustering
adjustedRandIndex

Adjusted Rand Index
me

EM algorithm starting with M-step for parameterized MVN mixture models.
me.weighted

EM algorithm with weights starting with M-step for parameterized MVN mixture models
mclustBIC

BIC for Model-Based Clustering
partuniq

Classifies Data According to Unique Observations
plot.Mclust

Plot Model-Based Clustering Results
banknote

Swiss banknotes data
mclustBICupdate

Update BIC values for parameterized Gaussian mixture models
predict.MclustDA

Classify multivariate observations by Gaussian finite mixture modeling
plot.MclustBootstrap

Plot of bootstrap distributions for mixture model parameters
cdensE

Component Density for a Parameterized MVN Mixture Model
hypvol

Aproximate Hypervolume for Multivariate Data
nVarParams

Number of Variance Parameters in Gaussian Mixture Models
predict.MclustDR

Classify multivariate observations on a dimension reduced subspace by Gaussian finite mixture modeling
predict.densityMclust

Density estimate of multivariate observations by Gaussian finite mixture modeling
plot.MclustDA

Plotting method for MclustDA discriminant analysis
priorControl

Conjugate Prior for Gaussian Mixtures.
sigma2decomp

Convert mixture component covariances to decomposition form.
partconv

Numeric Encoding of a Partitioning
sim

Simulate from Parameterized MVN Mixture Models
cdfMclust

Cumulative Distribution and Quantiles for a univariate Gaussian mixture distribution
plot.MclustDR

Plotting method for dimension reduction for model-based clustering and classification
mclust-package

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
mclust.options

Default values for use with MCLUST package
plot.clustCombi

Plot Combined Clusterings Results
surfacePlot

Density or uncertainty surface for bivariate mixtures
thyroid

Thyroid gland data
covw

Weighted means, covariance and scattering matrices conditioning on a weighted matrix.
simE

Simulate from a Parameterized MVN Mixture Model
summary.Mclust

Summarizing Gaussian Finite Mixture Model Fits
mclustBootstrapLRT

Bootstrap Likelihood Ratio Test for the Number of Mixture Components
cross

Simulated Cross Data
estep

E-step for parameterized Gaussian mixture models.
mclustICL

ICL Criterion for Model-Based Clustering
wreath

Data Simulated from a 14-Component Mixture
meE

EM algorithm starting with M-step for a parameterized Gaussian mixture model.
estepE

E-step in the EM algorithm for a parameterized Gaussian mixture model.
mstep

M-step for parameterized Gaussian mixture models.
Baudry_etal_2010_JCGS_examples

Simulated Example Datasets From Baudry et al. (2010)
bic

BIC for Parameterized Gaussian Mixture Models
cdens

Component Density for Parameterized MVN Mixture Models
coordProj

Coordinate projections of multidimensional data modeled by an MVN mixture.
diabetes

Diabetes data
GvHD

GvHD Dataset
combiTree

Tree structure obtained from combining mixture components
plot.mclustICL

ICL Plot for Model-Based Clustering
predict.Mclust

Cluster multivariate observations by Gaussian finite mixture modeling
hcE

Model-based Hierarchical Clustering
logLik.Mclust

Log-Likelihood of a Mclust object
imputePairs

Pairwise Scatter Plots showing Missing Data Imputations
em

EM algorithm starting with E-step for parameterized Gaussian mixture models.
summary.MclustBootstrap

Summary Function for Bootstrap Inference for Gaussian Finite Mixture Models
mclust-deprecated

Deprecated Functions in mclust package
summary.MclustDA

Summarizing discriminant analysis based on Gaussian finite mixture modeling.
hclass

Classifications from Hierarchical Agglomeration
map

Classification given Probabilities
mclust-internal

Internal MCLUST functions
mclustModelNames

MCLUST Model Names
mclustVariance

Template for variance specification for parameterized Gaussian mixture models
nMclustParams

Number of Estimated Parameters in Gaussian Mixture Models
mapClass

Correspondence between classifications.
mclustLoglik

Log-likelihood from a table of BIC values for parameterized Gaussian mixture models
mclustModel

Best model based on BIC
mvnX

Univariate or Multivariate Normal Fit
mstepE

M-step for a parameterized Gaussian mixture model.
mvn

Univariate or Multivariate Normal Fit
plot.densityMclust

Plots for Mixture-Based Density Estimate
plot.mclustBIC

BIC Plot for Model-Based Clustering
randProj

Random projections of multidimensional data modeled by an MVN mixture.
randomPairs

Random hierarchical structure
unmap

Indicator Variables given Classification
uncerPlot

Uncertainty Plot for Model-Based Clustering
summary.MclustDR

Summarizing dimension reduction method for model-based clustering and classification
summary.mclustBIC

Summary function for model-based clustering via BIC
MclustDR

Dimension reduction for model-based clustering and classification