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), ).


bigMap 2.1.0

Feb, 2019. Solved for staged install.

bigMap 2.0.0

Jan, 2019. First submission.

Reference manual

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2.3.1 by Joan Garriga, a year ago

Browse source code at

Authors: Joan Garriga [aut, cre] , Frederic Bartumeus [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, bigmemory, parallel, RColorBrewer, colorspace

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, BH, bigmemory

System requirements: GNU make

See at CRAN