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mclust (version 1.1-7)
Model-based cluster analysis
Description
Model-based cluster analysis
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Install
install.packages('mclust')
Monthly Downloads
59,191
Version
1.1-7
License
copyright 1996, 1998 Department of Statistics, University of Washington Permission granted for unlimited redistribution for non-commercial use only.
Homepage
http://www.stat.washington.edu/fraley/mclust_soft.shtml
Maintainer
University of Washington R port by Ron Wehrens
Last Published
February 23rd, 2024
Functions in mclust (1.1-7)
Search all functions
me.VEV
EM for constant shape, varying volume MVN mixture models
emclust1
BIC from hierarchical clustering followed by EM for a parameterized Gaussian mixture model.
loglik
Loglikelihood for model-based hierarchical clustering.
emclust
BIC from hierarchical clustering followed by EM for several parameterized Gaussian mixture models.
mstep
M-step for parameterized MVN mixture models
mstep.EEV
M-step for constant shape, constant volume MVN mixture models
mstep.EEE
M-step for constant-variance MVN mixture models
estep.EI
E-step for spherical, constant-volume MVN mixture models
clpairs
Classifications for hierarchical clustering.
me
EM for parameterized MVN mixture models
one.XXX
Log-likelihood for a single cluster
mstep.EI
M-step for spherical, constant-volume MVN mixture models
me.VVV
EM for unconstrained MVN mixture models
mhtree.EI
Classification tree for hierarchical clustering for Gaussian models with uniform diagonal variance.
estep.VVV
E-step for constant-variance MVN mixture models
me.EI
EM for spherical, constant-volume MVN mixture models
mstep.VI
M-step for spherical, varying volume MVN mixture models
mstep.VVV
M-step for unconstrained MVN mixture models
mstep.VEV
M-step for constant shape, constant volume MVN mixture models
awe
Approximate weight of evidence for model-based hierarchical clustering.
ztoc
Conversion between conditional probabilities and a classification
mhclass
Classifications for hierarchical clustering.
bic
BIC for parameterized MVN mixture models
print.emclust
Print methods for BIC values
me.EEE
EM for constant-variance MVN mixture models
mhtree.EFV
Classification tree for hierarchical clustering for Gaussian models with equal volume and fixed shape.
mixproj
Displays one standard deviation of an MVN mixture classification.
mhtree.EEE
Classification tree for hierarchical clustering for Gaussian models with constant variance.
me.EEV
EM for constant shape, constant volume MVN mixture models
summary.emclust1
Summary method for `emclust1' objects.
censcale
Centering and Scaling of Data
estep.EEE
E-step for constant-variance MVN mixture models
estep.VI
E-step for spherical, varying volume MVN mixture models
plot.emclust
Plot BIC values
summary.emclust
Summary method for `emclust' objects.
mhtree.VI
Classification tree for hierarchical clustering for Gaussian models with diagonal variance.
mhtree.VFV
Classification tree for hierarchical clustering for Gaussian models with equal volume and constant shape.
mhtree
Classification Tree for Model-based Gaussian hierarchical clustering.
mhtree.VVV
Classification tree for hierarchical clustering for Gaussian models with unconstrained variance.
me.VI
EM for spherical, varying volume MVN mixture models
estep
E-step for parameterized MVN mixture models
hypvol
Estimation of hypervolume
traceW
Compute traceW
partuniq
Classifies Data According to Unique Observations
estep.XEV
E-step for constant shape MVN mixture models
partconv
Convert partitioning into numerical vector.
chevron
Simulated minefield data
diabetes
Diabetes data