Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix R package adjclust version 0.6.11 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) 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>. Software Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, Rcpp (>= 1.0.6), Matrix, sparseMatrixStats, methods, utils, capushe, ggplot2, dendextend, rlang LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats, BiocGenerics Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr> Comprehensive R Archive Network (CRAN) Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre] (ORCID: <https://orcid.org/0000-0003-3584-9998>), Guillem Rigaill [aut], Nathalie Vialaneix [aut] (ORCID: <https://orcid.org/0000-0003-1156-0639>), Gabriel Hoffman [aut] GPL-3 2025-11-20 application/tgz https://CRAN.R-project.org/package=adjclust doi:10.32614/CRAN.package.adjclust en-US