Package: bigMap 4.6.2

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), <arxiv:1812.09869>).

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

bigMap_4.6.2.tar.gz
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bigMap.pdf |bigMap.html
bigMap/json (API)

# Install 'bigMap' in R:
install.packages('bigMap', repos = c('https://jgarriga65.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jgarriga65/bigmap/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

3.32 score 21 scripts 217 downloads 25 exports 8 dependencies

Last updated 6 months agofrom:bec112db4a. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64WARNINGNov 07 2024
R-4.5-linux-x86_64WARNINGNov 07 2024
R-4.4-win-x86_64WARNINGNov 07 2024
R-4.4-mac-x86_64WARNINGNov 07 2024
R-4.4-mac-aarch64WARNINGNov 07 2024
R-4.3-win-x86_64WARNINGNov 07 2024
R-4.3-mac-x86_64WARNINGNov 07 2024
R-4.3-mac-aarch64WARNINGNov 07 2024

Exports:bdm.boxpbdm.costbdm.dMapbdm.dMap.plotbdm.examplebdm.hlCorrbdm.initbdm.knpbdm.knp.plotbdm.labelsbdm.merge.s2nrbdm.mpi.startbdm.mpi.stopbdm.mtsnebdm.optk.plotbdm.optk.s2nrbdm.pakdebdm.pakde.plotbdm.pMapbdm.ptsnebdm.ptsne.plotbdm.qMapbdm.restartbdm.wttbdm.wtt.plot

Dependencies:BHbigmemorybigmemory.sricolorspaceRColorBrewerRcppRcppArmadillouuid