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mclust (version 5.0.0)

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

Description

Normal Mixture Modelling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.

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Version

Install

install.packages('mclust')

Monthly Downloads

55,830

Version

5.0.0

License

GPL (>= 2)

Maintainer

Luca Scrucca

Last Published

April 9th, 2015

Functions in mclust (5.0.0)

cdfMclust

Cumulative Distribution and Quantiles for a univariate Gaussian mixture distribution
combMat

Combining Matrix
mclustICL

ICL Criterion for Model-Based Clustering
clPairs

Pairwise Scatter Plots showing Classification
em

EM algorithm starting with E-step for parameterized Gaussian mixture models.
decomp2sigma

Convert mixture component covariances to matrix form.
densityMclust.diagnostic

Diagnostic plots for mclustDensity estimation
emControl

Set control values for use with the EM algorithm.
mclustBIC

BIC for Model-Based Clustering
adjustedRandIndex

Adjusted Rand Index
cdensE

Component Density for a Parameterized MVN Mixture Model
MclustBootstrap

Bootstrap Inference for Gaussian finite mixture models
me

EM algorithm starting with M-step for parameterized MVN mixture models.
clustCombi-internal

Internal clustCombi functions
hclass

Classifications from Hierarchical Agglomeration
Baudry_etal_2010_JCGS_examples

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

Classifies Data According to Unique Observations
Mclust

Model-Based Clustering
MclustDR

Dimension reduction for model-based clustering and classification
diabetes

Diabetes data
summary.Mclust

Summarizing Gaussian Finite Mixture Model Fits
icl

ICL for an estimated Gaussian Mixture Model
logLik.MclustDA

Log-Likelihood of a MclustDA object
entPlot

Plot Entropy Plots
plot.mclustICL

ICL Plot for Model-Based Clustering
print.clustCombi

Displays Combined Clusterings Results
mclust-package

Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation
predict.MclustDA

Classify multivariate observations by Gaussian finite mixture modeling
imputeData

Missing Data Imputation via the mix package
defaultPrior

Default conjugate prior for Gaussian mixtures.
mvnX

Univariate or Multivariate Normal Fit
logLik.Mclust

Log-Likelihood of a Mclust object
randomPairs

Random projections of multidimensional data modeled by an MVN mixture.
plot.Mclust

Plot Model-Based Clustering Results
combiPlot

Plot Classifications Corresponding to Successive Combined Solutions
emE

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

Density estimate of multivariate observations by Gaussian finite mixture modeling
hc

Model-based Hierarchical Clustering
nMclustParams

Number of Estimated Parameters in Gaussian Mixture Models
wreath

Data Simulated from a 14-Component Mixture
imputePairs

Pairwise Scatter Plots showing Missing Data Imputations
acidity

Acidity data
chevron

Simulated minefield data
bic

BIC for Parameterized Gaussian Mixture Models
simE

Simulate from a Parameterized MVN Mixture Model
mvn

Univariate or Multivariate Normal Fit
hypvol

Aproximate Hypervolume for Multivariate Data
estep

E-step for parameterized Gaussian mixture models.
me.weighted

EM algorithm with weights starting with M-step for parameterized MVN mixture models
mclust.options

Default values for use with MCLUST package
summary.MclustBootstrap

Summary Function for Bootstrap Inference for Gaussian Finite Mixture Models
summary.MclustDR

Summarizing dimension reduction method for model-based clustering and classification
surfacePlot

Density or uncertainty surface for bivariate mixtures.
map

Classification given Probabilities
mclustBootstrapLRT

Bootstrap Likelihood Ratio Test for the Number of Mixture Components
summary.mclustBIC

Summary function for model-based clustering via BIC
mclustModelNames

MCLUST Model Names
clustCombi

Combining Gaussian Mixture Components for Clustering
coordProj

Coordinate projections of multidimensional data modeled by an MVN mixture.
plot.MclustDR

Plotting method for dimension reduction for model-based clustering and classification
predict.Mclust

Cluster multivariate observations by Gaussian finite mixture modeling
mclustModel

Best model based on BIC
unmap

Indicator Variables given Classification
summary.MclustDA

Summarizing discriminant analysis based on Gaussian finite mixture modeling.
cvMclustDA

MclustDA cross-validation
estepE

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

Component Density for Parameterized MVN Mixture Models
dens

Density for Parameterized MVN Mixtures
banknote

Swiss banknotes data
uncerPlot

Uncertainty Plot for Model-Based Clustering
meE

EM algorithm starting with M-step for a parameterized Gaussian mixture model.
sigma2decomp

Convert mixture component covariances to decomposition form.
hcE

Model-based Hierarchical Clustering
classError

Classification error
predict.MclustDR

Classify multivariate observations on a dimension reduced subspace by Gaussian finite mixture modeling
partconv

Numeric Encoding of a Partitioning
plot.clustCombi

Plot Combined Clusterings Results
mclustVariance

Template for variance specification for parameterized Gaussian mixture models
mstepE

M-step for a parameterized Gaussian mixture model.
priorControl

Conjugate Prior for Gaussian Mixtures.
mclust-deprecated

Deprecated Functions in mclust package
randProj

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

Thyroid gland data
cross

Simulated Cross Data
densityMclust

Density Estimation via Model-Based Clustering
nVarParams

Number of Variance Parameters in Gaussian Mixture Models
plot.densityMclust

Plots for Mixture-Based Density Estimate
sim

Simulate from Parameterized MVN Mixture Models
mapClass

Correspondence between classifications.
mclust-internal

Internal MCLUST functions
mstep

M-step for parameterized Gaussian mixture models.
MclustDA

MclustDA discriminant analysis
mclust1Dplot

Plot one-dimensional data modeled by an MVN mixture.
plot.mclustBIC

BIC Plot for Model-Based Clustering
GvHD

GvHD Dataset
mclust2Dplot

Plot two-dimensional data modelled by an MVN mixture.
plot.MclustDA

Plotting method for MclustDA discriminant analysis