kml
K-Means for Longitudinal Data
An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
- Version2.5.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- kml citation info
- Last release10/23/2024
Documentation
Team
Christophe Genolini
Patrice Kiener
Show author detailsRolesContributorBruno Falissard
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,011 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 21 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 13,878 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Oct 30, 2024 with 132 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
- Depends2 packages
- Reverse Depends1 package
- Reverse Suggests1 package