An implementation of the agglomerative hierarchical clustering method that accepts sparse similarity matrices. A similarity matrix can be interpreted as the adjacency matrix of a weighted undirected graph. In this graph, the edge weights represent the similarity of the two endpoints. Furthermore, absence of an edge is weak signal of similarity. This implementation builds the output dendrograms without expanding the matrix into the memory. The memory complexity is linear in terms of the number of nonzero entries in the input.
Package details 


Author  Mohammad Khabbazian 
Maintainer  Mohammad Khabbazian <khabbazian@wisc.edu> 
License  GPL (>= 3) 
Version  1.20 
URL  https://github.com/khabbazian/ 
Package repository  View on GitHub 
Installation 
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