adjclust
Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) doi:10.1186/s13015-019-0157-4.
- Version0.6.10
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- adjclust citation info
- Last release10/08/2024
Documentation
Team
Pierre Neuvial
Nathalie Vialaneix
Guillem Rigaill
Show author detailsRolesAuthorGabriel Hoffman
Show author detailsRolesAuthorChristophe Ambroise
Show author detailsRolesAuthorShubham Chaturvedi
Show author detailsRolesAuthorAlia Dehman
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 482 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 10 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 6,223 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Aug 28, 2024 with 79 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.
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Dependencies
- Imports6 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Imports2 packages