Model-based cluster analysis


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awe Approximate weight of evidence for model-based hierarchical clustering.
bic BIC for parameterized MVN mixture models
censcale Centering and Scaling of Data
clpairs Classifications for hierarchical clustering.
emclust BIC from hierarchical clustering followed by EM for several parameterized Gaussian mixture models.
emclust1 BIC from hierarchical clustering followed by EM for a parameterized Gaussian mixture model.
estep E-step for parameterized MVN mixture models
estep.EEE E-step for constant-variance MVN mixture models
estep.EI E-step for spherical, constant-volume MVN mixture models
estep.VI E-step for spherical, varying volume MVN mixture models
estep.VVV E-step for constant-variance MVN mixture models
estep.XEV E-step for constant shape MVN mixture models
loglik Loglikelihood for model-based hierarchical clustering.
me EM for parameterized MVN mixture models
me.EEE EM for constant-variance MVN mixture models
me.EEV EM for constant shape, constant volume MVN mixture models
me.EI EM for spherical, constant-volume MVN mixture models
me.VEV EM for constant shape, varying volume MVN mixture models
me.VI EM for spherical, varying volume MVN mixture models
me.VVV EM for unconstrained MVN mixture models
mhclass Classifications for hierarchical clustering.
mhtree Classification Tree for Model-based Gaussian hierarchical clustering.
mhtree.EEE Classification tree for hierarchical clustering for Gaussian models with constant variance.
mhtree.EFV Classification tree for hierarchical clustering for Gaussian models with equal volume and fixed shape.
mhtree.EI Classification tree for hierarchical clustering for Gaussian models with uniform diagonal variance.
mhtree.VFV Classification tree for hierarchical clustering for Gaussian models with equal volume and constant shape.
mhtree.VI Classification tree for hierarchical clustering for Gaussian models with diagonal variance.
mhtree.VVV Classification tree for hierarchical clustering for Gaussian models with unconstrained variance.
mixproj Displays one standard deviation of an MVN mixture classification.
mstep M-step for parameterized MVN mixture models
mstep.EEE M-step for constant-variance MVN mixture models
mstep.EEV M-step for constant shape, constant volume MVN mixture models
mstep.EI M-step for spherical, constant-volume MVN mixture models
mstep.VEV M-step for constant shape, 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
partuniq Classifies Data According to Unique Observations
summary.emclust Summary method for `emclust' objects.
summary.emclust1 Summary method for `emclust1' objects.