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