bigMap: Big Data Mapping

Unsupervised clustering protocol for large scale structured data, based on a low dimensional representation of the data. Dimensionality reduction is performed using a parallelized implementation of the t-Stochastic Neighboring Embedding algorithm (Garriga J. and Bartumeus F. (2018), <doi:10.48550/arXiv.1812.09869>).

Version:	2.3.1
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 0.12.0), bigmemory (≥ 4.5.0), parallel (≥ 3.5.0), RColorBrewer, colorspace
LinkingTo:	Rcpp, RcppArmadillo, BH, bigmemory
Suggests:	knitr, rmarkdown
Published:	2020-06-30
DOI:	10.32614/CRAN.package.bigMap
Author:	Joan Garriga [aut, cre], Frederic Bartumeus [aut]
Maintainer:	Joan Garriga <jgarriga at ceab.csic.es>
License:	GPL-3
NeedsCompilation:	yes
SystemRequirements:	GNU make
Materials:	NEWS
CRAN checks:	bigMap results

Documentation:

Reference manual:	bigMap.pdf
Vignettes:	The bigMap R-package: quick reference

Downloads:

Package source:	bigMap_2.3.1.tar.gz
Windows binaries:	r-devel: bigMap_2.3.1.zip, r-release: bigMap_2.3.1.zip, r-oldrel: bigMap_2.3.1.zip
macOS binaries:	r-release (arm64): bigMap_2.3.1.tgz, r-oldrel (arm64): bigMap_2.3.1.tgz, r-release (x86_64): bigMap_2.3.1.tgz, r-oldrel (x86_64): bigMap_2.3.1.tgz
Old sources:	bigMap archive

Linking:

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