pneuvial/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>.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Clustering FeatureExtraction |
| Maintainer | Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr> |
| License | GPL-3 |
| Version | 0.6.10 |
| URL | https://pneuvial.github.io/adjclust/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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