cclust
Convex Clustering Methods and Clustering Indexes
Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
- Version0.6-26
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release05/02/2023
Documentation
Team
Kurt Hornik
MaintainerShow author detailsEvgenia Dimitriadou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 713 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 7 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 9,796 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 Feb 23, 2025 with 138 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
- Reverse Depends1 package
- Reverse Suggests1 package
- Reverse Enhances1 package