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Similarity Network Fusion takes multiple views of a network and fuses them together to construct an overall status matrix. The input to our algorithm can be feature vectors, pairwise distances, or pairwise similarities. The learned status matrix can then be used for retrieval, clustering, and classification.
Package details 


Author  Bo Wang, Aziz Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin HaibeKains, Anna Goldenberg 
Maintainer  Daniel Cole <goldenberglab@gmail.com> 
License  GPL 
Version  2.3.0 
Package repository  View on CRAN 
Installation 
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