Package: adjclust Maintainer: Pierre Neuvial Authors@R: c(person("Christophe", "Ambroise", role = "aut"), person("Shubham", "Chaturvedi", role = "aut"), person("Alia", "Dehman", role = "aut"), person("Pierre", "Neuvial", role = c("aut", "cre"), email = "pierre.neuvial@math.univ-toulouse.fr", comment = c(ORCID = "0000-0003-3584-9998")), person("Guillem", "Rigaill", role = "aut"), person("Nathalie", "Vialaneix", role = "aut", email = "nathalie.vialaneix@inrae.fr", comment = c(ORCID = "0000-0003-1156-0639")), person("Gabriel", "Hoffman", role = "aut")) Date: 2025-11-19 Version: 0.6.11 License: GPL-3 Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix Description: 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) . Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, Rcpp (>= 1.0.6), Matrix, sparseMatrixStats, methods, utils, capushe, ggplot2, dendextend, rlang Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats, BiocGenerics biocViews: Clustering, FeatureExtraction VignetteBuilder: knitr URL: https://pneuvial.github.io/adjclust/ BugReports: https://github.com/pneuvial/adjclust/issues RoxygenNote: 7.3.2 LinkingTo: Rcpp, RcppArmadillo Encoding: UTF-8 Language: en-US Repository: https://pneuvial.r-universe.dev Date/Publication: 2025-11-19 21:34:02 UTC RemoteUrl: https://github.com/pneuvial/adjclust RemoteRef: HEAD RemoteSha: 8dfea166a05f863976c83b8e73a5fcc30d36618a NeedsCompilation: yes Packaged: 2026-06-17 08:44:35 UTC; root Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre] (ORCID: ), Guillem Rigaill [aut], Nathalie Vialaneix [aut] (ORCID: ), Gabriel Hoffman [aut]