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mclust (version 1.1-5)
Model-based cluster analysis
Description
Model-based cluster analysis
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Install
install.packages('mclust')
Monthly Downloads
77,421
Version
1.1-5
License
copyright 1996, 1998 Department of Statistics, University of Washington Permission granted for unlimited redistribution for non-commercial use only.
Maintainer
University of Washington R port by Ron Wehrens
Last Published
October 31st, 2025
Functions in mclust (1.1-5)
Search all functions
me
EM for parameterized MVN mixture models
awe
Approximate weight of evidence for model-based hierarchical clustering.
me.VVV
EM for unconstrained MVN mixture models
mhtree.EEE
Classification tree for hierarchical clustering for Gaussian models with constant variance.
estep.VI
E-step for spherical, varying volume MVN mixture models
estep
E-step for parameterized MVN mixture models
estep.VVV
E-step for constant-variance MVN mixture models
estep.EEE
E-step for constant-variance MVN mixture models
clpairs
Classifications for hierarchical clustering.
partuniq
Classifies Data According to Unique Observations
estep.XEV
E-step for constant shape MVN mixture models
mhtree.VI
Classification tree for hierarchical clustering for Gaussian models with diagonal variance.
traceW
Compute traceW
me.EI
EM for spherical, constant-volume MVN mixture models
hypvol
Estimation of hypervolume
mhtree
Classification Tree for Model-based Gaussian hierarchical clustering.
loglik
Loglikelihood for model-based hierarchical clustering.
me.VI
EM for spherical, varying volume MVN mixture models
mstep
M-step for parameterized MVN mixture models
mstep.VEV
M-step for constant shape, constant volume MVN mixture models
mstep.VVV
M-step for unconstrained MVN mixture models
one.XXX
Log-likelihood for a single cluster
censcale
Centering and Scaling of Data
mhtree.VFV
Classification tree for hierarchical clustering for Gaussian models with equal volume and constant shape.
mstep.EEV
M-step for constant shape, constant volume MVN mixture models
mhtree.EFV
Classification tree for hierarchical clustering for Gaussian models with equal volume and fixed shape.
plot.emclust
Plot BIC values
me.EEE
EM for constant-variance MVN mixture models
me.EEV
EM for constant shape, constant volume MVN mixture models
summary.emclust1
Summary method for `emclust1' objects.
mixproj
Displays one standard deviation of an MVN mixture classification.
ztoc
Conversion between conditional probabilities and a classification
summary.emclust
Summary method for `emclust' objects.
print.emclust
Print methods for BIC values
mstep.EEE
M-step for constant-variance MVN mixture models
emclust
BIC from hierarchical clustering followed by EM for several parameterized Gaussian mixture models.
bic
BIC for parameterized MVN mixture models
mhtree.VVV
Classification tree for hierarchical clustering for Gaussian models with unconstrained variance.
emclust1
BIC from hierarchical clustering followed by EM for a parameterized Gaussian mixture model.
me.VEV
EM for constant shape, varying volume MVN mixture models
mstep.EI
M-step for spherical, constant-volume MVN mixture models
estep.EI
E-step for spherical, constant-volume MVN mixture models
mhclass
Classifications for hierarchical clustering.
mstep.VI
M-step for spherical, varying volume MVN mixture models
partconv
Convert partitioning into numerical vector.
mhtree.EI
Classification tree for hierarchical clustering for Gaussian models with uniform diagonal variance.
diabetes
Diabetes data
chevron
Simulated minefield data