Model-based cluster analysis


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Documentation for package `mclust' version 2.1-11

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B C D E G H L M P R S U

.Mclust List of values controlling defaults for some MCLUST functions.

-- B --

bic BIC for Parameterized MVN Mixture Models
bicE BIC for a Parameterized MVN Mixture Model
bicEEE BIC for a Parameterized MVN Mixture Model
bicEEI BIC for a Parameterized MVN Mixture Model
bicEEV BIC for a Parameterized MVN Mixture Model
bicEII BIC for a Parameterized MVN Mixture Model
bicEMtrain Select models in discriminant analysis using BIC
bicEVI BIC for a Parameterized MVN Mixture Model
bicV BIC for a Parameterized MVN Mixture Model
bicVEI BIC for a Parameterized MVN Mixture Model
bicVEV BIC for a Parameterized MVN Mixture Model
bicVII BIC for a Parameterized MVN Mixture Model
bicVVI BIC for a Parameterized MVN Mixture Model
bicVVV BIC for a Parameterized MVN Mixture Model

-- C --

cdens Component Density for Parameterized MVN Mixture Models
cdensE Component Density for a Parameterized MVN Mixture Model
cdensEEE Component Density for a Parameterized MVN Mixture Model
cdensEEI Component Density for a Parameterized MVN Mixture Model
cdensEEV Component Density for a Parameterized MVN Mixture Model
cdensEII Component Density for a Parameterized MVN Mixture Model
cdensEVI Component Density for a Parameterized MVN Mixture Model
cdensV Component Density for a Parameterized MVN Mixture Model
cdensVEI Component Density for a Parameterized MVN Mixture Model
cdensVEV Component Density for a Parameterized MVN Mixture Model
cdensVII Component Density for a Parameterized MVN Mixture Model
cdensVVI Component Density for a Parameterized MVN Mixture Model
cdensVVV Component Density for a Parameterized MVN Mixture Model
chevron Simulated minefield data
classError Classification error.
classErrors Classification error.
clPairs Pairwise Scatter Plots showing Classification
compareClass Compare classifications.
coordProj Coordinate projections of data in more than two dimensions modelled by an MVN mixture.
cv1EMtrain Select discriminant models using cross validation

-- D --

decomp2sigma Convert mixture component covariances to matrix form.
Defaults.Mclust List of values controlling defaults for some MCLUST functions.
dens Density for Parameterized MVN Mixtures
density Kernel Density Estimation
diabetes Diabetes data

-- E --

em EM algorithm starting with E-step for parameterized MVN mixture models.
EMclust BIC for Model-Based Clustering
EMclustN BIC for Model-Based Clustering with Poisson Noise
emE EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEE EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEI EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEV EM algorithm starting with E-step for a parameterized MVN mixture model.
emEII EM algorithm starting with E-step for a parameterized MVN mixture model.
emEVI EM algorithm starting with E-step for a parameterized MVN mixture model.
emV EM algorithm starting with E-step for a parameterized MVN mixture model.
emVEI EM algorithm starting with E-step for a parameterized MVN mixture model.
emVEV EM algorithm starting with E-step for a parameterized MVN mixture model.
emVII EM algorithm starting with E-step for a parameterized MVN mixture model.
emVVI EM algorithm starting with E-step for a parameterized MVN mixture model.
emVVV EM algorithm starting with E-step for a parameterized MVN mixture model.
estep E-step for parameterized MVN mixture models.
estepE E-step in the EM algorithm for a parameterized MVN mixture model.
estepEEE E-step in the EM algorithm for a parameterized MVN mixture model.
estepEEI E-step in the EM algorithm for a parameterized MVN mixture model.
estepEEV E-step in the EM algorithm for a parameterized MVN mixture model.
estepEII E-step in the EM algorithm for a parameterized MVN mixture model.
estepEVI E-step in the EM algorithm for a parameterized MVN mixture model.
estepV E-step in the EM algorithm for a parameterized MVN mixture model.
estepVEI E-step in the EM algorithm for a parameterized MVN mixture model.
estepVEV E-step in the EM algorithm for a parameterized MVN mixture model.
estepVII E-step in the EM algorithm for a parameterized MVN mixture model.
estepVVI E-step in the EM algorithm for a parameterized MVN mixture model.
estepVVV E-step in the EM algorithm for a parameterized MVN mixture model.

-- G --

grid1 Generate grid points
grid2 Generate grid points

-- H --

hc Model-based Hierarchical Clustering
hcE Model-based Hierarchical Clustering
hcEEE Model-based Hierarchical Clustering
hcEII Model-based Hierarchical Clustering
hclass Classifications from Hierarchical Agglomeration
hcV Model-based Hierarchical Clustering
hcVII Model-based Hierarchical Clustering
hcVVV Model-based Hierarchical Clustering
hypvol Aproximate Hypervolume for Multivariate Data

-- L --

lansing Maple trees in Lansing Woods

-- M --

map Classification given Probabilities
mapClass Correspondence between classifications.
Mclust Model-Based Clustering
mclust1Dplot Plot one-dimensional data modelled by an MVN mixture.
mclust2Dplot Plot two-dimensional data modelled by an MVN mixture.
mclustDA MclustDA discriminant analysis.
mclustDAtest MclustDA Testing
mclustDAtrain MclustDA Training
mclustOptions Set control values for use with MCLUST.
me EM algorithm starting with M-step for parameterized MVN mixture models.
meE EM algorithm starting with M-step for a parameterized MVN mixture model.
meEEE EM algorithm starting with M-step for a parameterized MVN mixture model.
meEEI EM algorithm starting with M-step for a parameterized MVN mixture model.
meEEV EM algorithm starting with M-step for a parameterized MVN mixture model.
meEII EM algorithm starting with M-step for a parameterized MVN mixture model.
meEVI EM algorithm starting with M-step for a parameterized MVN mixture model.
meV EM algorithm starting with M-step for a parameterized MVN mixture model.
meVEI EM algorithm starting with M-step for a parameterized MVN mixture model.
meVEV EM algorithm starting with M-step for a parameterized MVN mixture model.
meVII EM algorithm starting with M-step for a parameterized MVN mixture model.
meVVI EM algorithm starting with M-step for a parameterized MVN mixture model.
meVVV EM algorithm starting with M-step for a parameterized MVN mixture model.
mstep M-step in the EM algorithm for parameterized MVN mixture models.
mstepE M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEEE M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEEI M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEEV M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEII M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEVI M-step in the EM algorithm for a parameterized MVN mixture model.
mstepV M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVEI M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVEV M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVII M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVVI M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVVV M-step in the EM algorithm for a parameterized MVN mixture model.
mvn Multivariate Normal Fit
mvnX Multivariate Normal Fit
mvnXII Multivariate Normal Fit
mvnXXI Multivariate Normal Fit
mvnXXX Multivariate Normal Fit

-- P --

partconv Convert partitioning into numerical vector.
partuniq Classifies Data According to Unique Observations
plot.EMclust BIC for Model-Based Clustering
plot.EMclustN BIC for Model-Based Clustering with Poisson Noise
plot.Mclust Plot Model-Based Clustering Results
plot.mclustDA Plotting method for MclustDA discriminant analysis.
print.density Kernel Density Estimation
print.EMclust BIC for Model-Based Clustering
print.EMclustN BIC for Model-Based Clustering with Poisson Noise
print.Mclust Model-Based Clustering
print.mclustDA MclustDA discriminant analysis.
print.summary.EMclust Summary function for EMclust
print.summary.EMclustN summary function for EMclustN

-- R --

randProj Random projections for data in more than two dimensions modelled by an MVN mixture.

-- S --

sigma2decomp Convert mixture component covariances to decomposition form.
sim Simulate from Parameterized MVN Mixture Models
simE Simulate from a Parameterized MVN Mixture Model
simEEE Simulate from a Parameterized MVN Mixture Model
simEEI Simulate from a Parameterized MVN Mixture Model
simEEV Simulate from a Parameterized MVN Mixture Model
simEII Simulate from a Parameterized MVN Mixture Model
simEVI Simulate from a Parameterized MVN Mixture Model
simV Simulate from a Parameterized MVN Mixture Model
simVEI Simulate from a Parameterized MVN Mixture Model
simVEV Simulate from a Parameterized MVN Mixture Model
simVII Simulate from a Parameterized MVN Mixture Model
simVVI Simulate from a Parameterized MVN Mixture Model
simVVV Simulate from a Parameterized MVN Mixture Model
spinProj Planar spin for random projections of data in more than two dimensions modelled by an MVN mixture.
summary.EMclust Summary function for EMclust
summary.EMclustN summary function for EMclustN
summary.Mclust Very brief summary of an Mclust object.
summary.mclustDAtest Classification and posterior probability from mclustDAtest.
summary.mclustDAtrain Models and classifications from mclustDAtrain
surfacePlot Density or uncertainty surface for two dimensional mixtures.

-- U --

uncerPlot Uncertainty Plot for Model-Based Clustering
unmap Indicator Variables given Classification