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[issues need fixing before 2025-12-18] |
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