00_EMCluster-package: EM Algorithm for Model-Based Clustering of Finite Mixture...

In EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

Description

EMCluster provides EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised clustering.

Details

The install command is simply as

> R CMD INSTALL EMCluster_0.2-0.tar.gz

from a command mode or

R> install.packages("EMCluster")

inside an R session.

Author(s)

Wei-Chen Chen [e-mail] and Ranjan Maitra.

References

https://www.stat.iastate.edu/people/ranjan-maitra

See Also

init.EM, emcluster.

Examples

## Not run: 
demo(allinit, 'EMCluster', ask = F, echo = F)
demo(allinit_ss, 'EMCluster', ask = F, echo = F)

## End(Not run)

EMCluster documentation built on Sept. 11, 2024, 5:27 p.m.