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  "Title": "Adjacency-Constrained Clustering of a Block-Diagonal Similarity\nMatrix",
  "Description": "Implements a constrained version of hierarchical\nagglomerative clustering, in which each observation is\nassociated to a position, and only adjacent clusters can be\nmerged. Typical application fields in bioinformatics include\nGenome-Wide Association Studies or Hi-C data analysis, where\nthe similarity between items is a decreasing function of their\ngenomic distance. Taking advantage of this feature, the\nimplemented algorithm is time and memory efficient. This\nalgorithm is described in Ambroise et al (2019)\n<doi:10.1186/s13015-019-0157-4>.",
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