proxyC: Computes Proximity in Large Sparse Matrices (original) (raw)

Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.

Version: 0.4.1
Depends: R (≥ 3.1.0), methods
Imports: Matrix (≥ 1.2), Rcpp (≥ 0.12.12)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: testthat, entropy, proxy, knitr, rmarkdown
Published: 2024-04-07
DOI: 10.32614/CRAN.package.proxyC
Author: Kohei Watanabe ORCID iD [cre, aut, cph], Robrecht Cannoodt ORCID iD [aut]
Maintainer: Kohei Watanabe <watanabe.kohei at gmail.com>
BugReports: https://github.com/koheiw/proxyC/issues
License: GPL-3
URL: https://github.com/koheiw/proxyC
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: proxyC results

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