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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.

copied from cf-staging / r-snftool
Type Size Name Uploaded Downloads Labels
conda 310.3 kB | noarch/r-snftool-2.3.0-r41hc72bb7e_2.tar.bz2  4 years and 2 months ago 2331 main
conda 311.0 kB | noarch/r-snftool-2.3.0-r40hc72bb7e_2.tar.bz2  4 years and 2 months ago 2332 main
conda 310.2 kB | noarch/r-snftool-2.3.0-r40h6115d3f_2.tar.bz2  5 years and 3 months ago 3203 main
conda 310.6 kB | noarch/r-snftool-2.3.0-r36h6115d3f_2.tar.bz2  5 years and 3 months ago 3189 main
conda 310.5 kB | noarch/r-snftool-2.3.0-r36h6115d3f_1.tar.bz2  6 years and 29 days ago 4114 main cf202003
conda 309.5 kB | noarch/r-snftool-2.3.0-r35h6115d3f_1.tar.bz2  6 years and 29 days ago 4023 main cf202003
conda 309.2 kB | noarch/r-snftool-2.3.0-r351h6115d3f_0.tar.bz2  6 years and 5 months ago 4388 main cf202003

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