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)
- Version0.6.10
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- adjclust citation info
- Last release10/08/2024
Documentation
Team
Pierre Neuvial
Christophe Ambroise
Show author detailsRolesAuthorShubham Chaturvedi
Show author detailsRolesAuthorAlia Dehman
Show author detailsRolesAuthorGuillem Rigaill
Show author detailsRolesAuthorNathalie Vialaneix
Gabriel Hoffman
Show author detailsRolesAuthor
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- Depends1 package
- Imports11 packages
- Suggests7 packages
- Linking To2 packages
- Reverse Imports2 packages