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>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: bigMap results


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


Package source: bigMap_2.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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