CCMMR
Minimization of the Convex Clustering Loss Function
Implements the convex clustering through majorization-minimization (CCMM) algorithm described in Touw, Groenen, and Terada (2022) doi:10.48550/arXiv.2211.01877 to perform minimization of the convex clustering loss function.
- Version0.2.1
- R version≥ 4.1
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/07/2024
Documentation
Team
Daniel Touw
Patrick Groenen
Yoshikazu Terada
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Insights
Last 30 days
This package has been downloaded 435 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 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 3,864 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Feb 08, 2025 with 55 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
- Imports2 packages
- Linking To2 packages