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proxyC  

Computes Proximity in Large Sparse Matrices
View on CRAN: Click here


Download and install proxyC package within the R console
Install from CRAN:
install.packages("proxyC")

Install from Github:
library("remotes")
install_github("cran/proxyC")

Install by package version:
library("remotes")
install_version("proxyC", "0.4.1")



Attach the package and use:
library("proxyC")
Maintained by
Kohei Watanabe
[Scholar Profile | Author Map]
First Published: 2018-12-31
Latest Update: 2022-10-06
Description:
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.
How to cite:
Kohei Watanabe (2018). proxyC: Computes Proximity in Large Sparse Matrices. R package version 0.4.1, https://cran.r-project.org/web/packages/proxyC. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-12-31 23:10), 0.1.2 (2019-04-20 00:30), 0.1.3 (2019-04-21 23:50), 0.1.4 (2019-06-05 00:40), 0.1.5 (2019-07-21 09:00), 0.2.0 (2021-05-11 10:30), 0.2.1 (2021-09-02 23:10), 0.2.2 (2021-10-27 16:20), 0.2.3 (2021-11-16 11:30), 0.2.4 (2021-12-10 11:50), 0.3.0 (2022-08-05 23:00), 0.3.1 (2022-08-23 00:40), 0.3.2 (2022-09-05 08:40), 0.3.3 (2022-10-06 06:20), 0.3.4 (2023-10-25 06:20), 0.4.0 (2024-04-05 19:20)
Other packages that cited proxyC R package
View proxyC citation profile
Other R packages that proxyC depends, imports, suggests or enhances
Complete documentation for proxyC
Functions, R codes and Examples using the proxyC R package
Some associated functions: colSds . colZeros . simil . 
Some associated R codes: RcppExports.R . proxy.R .  Full proxyC package functions and examples
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