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adjclust  

Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
View on CRAN: Click here


Download and install adjclust package within the R console
Install from CRAN:
install.packages("adjclust")

Install from Github:
library("remotes")
install_github("cran/adjclust")

Install by package version:
library("remotes")
install_version("adjclust", "0.6.10")



Attach the package and use:
library("adjclust")
Maintained by
Pierre Neuvial
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-18
Latest Update: 2024-02-08
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) .
How to cite:
Pierre Neuvial (2017). adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix. R package version 0.6.10, https://cran.r-project.org/web/packages/adjclust. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.5.2 (2017-10-18 20:17), 0.5.6 (2018-02-08 20:44), 0.5.7 (2018-09-26 23:00), 0.5.9 (2019-12-10 14:30), 0.5.99 (2020-06-18 12:30), 0.6.3 (2021-07-26 21:30), 0.6.4 (2022-03-31 16:20), 0.6.5 (2022-08-18 16:30), 0.6.6 (2022-09-15 00:00), 0.6.7 (2023-04-27 20:20), 0.6.8 (2024-01-13 17:10), 0.6.9 (2024-02-08 09:50)
Other packages that cited adjclust R package
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Other R packages that adjclust depends, imports, suggests or enhances
Complete documentation for adjclust
Functions, R codes and Examples using the adjclust R package
Some associated functions: adjClust . chac . hicClust . plotSim . select . snpClust . 
Some associated R codes: RcppExports.R . adjclust.R . buildHeap.R . chac.R . helpers.R . hicClust.R . plotSim.R . snpClust.R . zzzz.R .  Full adjclust package functions and examples
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