pdist: Partitioned Distance Function

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
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:

Reference manual:

pdist.pdf

Downloads:

Package source:	pdist_1.2.1.tar.gz
Windows binaries:	r-devel: pdist_1.2.1.zip, r-release: pdist_1.2.1.zip, r-oldrel: pdist_1.2.1.zip
macOS binaries:	r-release (arm64): pdist_1.2.1.tgz, r-oldrel (arm64): pdist_1.2.1.tgz, r-release (x86_64): pdist_1.2.1.tgz, r-oldrel (x86_64): pdist_1.2.1.tgz
Old sources:	pdist archive

Reverse dependencies:

Reverse depends:	JQL, partools, PrevMap
Reverse imports:	ahnr, bigdatadist, COMPASS, FastKNN, hmer, hopkins, hypervolume, msImpute, netcom, rdi, seqgendiff, shattering, SparseVFC, SRTsim, SSNbler, statTarget, survClust, toweranNA, Umatrix

Linking:

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