HDclassif
High Dimensional Supervised Classification and Clustering
Discriminant analysis and data clustering methods for high-dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.
- Version2.2.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- HDclassif citation info
- Last release08/23/2023
Documentation
Team
Laurent Berge
MaintainerShow author detailsCharles Bouveyron
Stephane Girard
Insights
Last 30 days
This package has been downloaded 1,185 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 50 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 10,525 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Feb 17, 2025 with 145 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
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Dependencies
- Depends1 package
- Imports1 package
- Reverse Imports1 package
- Reverse Suggests2 packages