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), ).


News

bigMap 2.1.0

Feb, 2019. Solved for staged install.

bigMap 2.0.0

Jan, 2019. First submission.

Reference manual

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install.packages("bigMap")

2.1.0 by Joan Garriga, 18 days ago


Browse source code at https://github.com/cran/bigMap


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


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, bigmemory, parallel, RColorBrewer, colorspace

Suggests snow, Rmpi, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, BH, bigmemory

System requirements: GNU make


See at CRAN