Implements the largeVis algorithm (see Tang, et al. (2016) <doi:10.1145/2872427.2883041>) for visualizing very large high-dimensional datasets. Also very fast search for approximate nearest neighbors; outlier detection; and optimized implementations of the HDBSCAN*, DBSCAN and OPTICS clustering algorithms; plotting functions for visualizing the above.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.0.2), Matrix |
| Imports: | ggplot2 (≥ 2.1.0) |
| LinkingTo: | Rcpp (≥ 0.12.4), RcppProgress (≥ 0.2.1), RcppArmadillo (≥ 0.7.200.2.0), testthat (≥ 1.0.2) |
| Suggests: | ggforce, testthat, knitr, rmarkdown, png, dbscan |
| Published: | 2017-05-08 |
| Author: | Amos B. Elberg |
| Maintainer: | Amos Elberg <amos.elberg at gmail.com> |
| BugReports: | https://github.com/elbamos/largeVis/issues |
| License: | GPL-3 |
| URL: | https://github.com/elbamos/largeVis |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | largeVis results |
| Reference manual: | largeVis.pdf |
| Vignettes: |
largeVis largeVisnewfeatures |
| Package source: | largeVis_0.2.1.tar.gz |
| Windows binaries: | r-devel: largeVis_0.2.1.zip, r-release: largeVis_0.2.1.zip, r-oldrel: largeVis_0.2.1.zip |
| OS X El Capitan binaries: | r-release: largeVis_0.2.1.tgz |
| OS X Mavericks binaries: | r-oldrel: largeVis_0.2.1.tgz |
| Old sources: | largeVis archive |
Please use the canonical form https://CRAN.R-project.org/package=largeVis to link to this page.