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.
- Version0.6.11
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- adjclust citation info
- Last releaselast Thursday at 12:00 AM
Documentation
Team
Pierre Neuvial
MaintainerShow author detailsAlia Dehman
Show author detailsRolesAuthorNathalie Vialaneix
Christophe Ambroise
Show author detailsRolesAuthorGabriel Hoffman
Show author detailsRolesAuthorGuillem Rigaill
Show author detailsRolesAuthorShubham Chaturvedi
Show author detailsRolesAuthor
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