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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:

Please use the canonical form https://CRAN.R-project.org/package=bigMap to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.