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:
Downloads:
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