EMCluster
EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
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 learning.
- Version0.2-16
- R versionunknown
- LicenseMozilla Public License 2.0
- Needs compilation?Yes
- EMCluster citation info
- Last release09/08/2024
Documentation
Team
Wei-Chen Chen
MaintainerShow author detailsVolodymyr Melnykov
Show author detailsRolesContributorRouben Rostamian
Show author detailsRolesContributorRanjan Maitra
Show author detailsRolesAuthorDan Nettleton
Show author detailsRolesContributorDavid Faden
Show author detailsRolesContributorR Core team
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 890 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,412 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 128 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Enhances1 package
- Reverse Imports1 package
- Reverse Suggests5 packages