adjclust 0.5.7

Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix

Released Sep 26, 2018 by Pierre Neuvial

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log An older version of this package is more compatible with Renjin.


matrixStats 0.54.0 capushe 1.1.1 Matrix 1.2-14

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 Chapter 4 of Alia Dehman (2015) .



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