CRAN/E | bigMap

bigMap

Big Data Mapping

Installation

About

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), ).

System requirements GNU make

Key Metrics

Version 2.3.1
R ≥ 3.5.0
Published 2020-06-30 1394 days ago
Needs compilation? yes
License GPL-3
CRAN checks bigMap results

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Maintainer

Maintainer

Joan Garriga

jgarriga@ceab.csic.es

Authors

Joan Garriga

aut / cre

Frederic Bartumeus

aut

Material

NEWS
Reference manual
Package source

Vignettes

The bigMap R-package: quick reference

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bigMap archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 0.12.0
bigmemory ≥ 4.5.0
parallel ≥ 3.5.0
RColorBrewer
colorspace

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo
BH
bigmemory