pdist: Partitioned Distance Function (original) (raw)
Computes the euclidean distance between rows of a matrix X and rows of another matrix Y. Previously, this could be done by binding the two matrices together and calling 'dist', but this creates unnecessary computation by computing the distances between a row of X and another row of X, and likewise for Y. pdist strictly computes distances across the two matrices, not within the same matrix, making computations significantly faster for certain use cases.
Version: | 1.2.1 |
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Depends: | methods |
Published: | 2022-05-02 |
DOI: | 10.32614/CRAN.package.pdist |
Author: | Jeffrey Wong |
Maintainer: | Jeffrey Wong <jeff.ct.wong at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/jeffwong/pdist |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | pdist results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: | JQL, partools, PrevMap |
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Reverse imports: | ahnr, bigdatadist, COMPASS, FastKNN, hmer, hopkins, hypervolume, msImpute, netcom, rdi, seqgendiff, shattering, SparseVFC, SRTsim, SSNbler, statTarget, toweranNA, Umatrix |
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