Implements the largeVis algorithm (see Tang, et al. (2016) <https://arxiv.org/abs/1602.00370>) 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: | 0.1.10.2 |
Depends: | R (≥ 3.0.2), Matrix |
Imports: | Rcpp (≥ 0.12.4), ggplot2 (≥ 0.9.2.1), dbscan |
LinkingTo: | Rcpp, RcppProgress (≥ 0.2.1), RcppArmadillo (≥ 0.7.200.2.0), testthat (≥ 1.0.2) |
Suggests: | testthat, covr, knitr, rmarkdown, wesanderson, RColorBrewer, dplyr, png, magrittr |
Published: | 2016-11-27 |
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_0.1.10.2.tar.gz |
Windows binaries: | r-devel: largeVis_0.1.10.2.zip, r-release: largeVis_0.1.10.2.zip, r-oldrel: not available |
OS X Mavericks binaries: | r-release: largeVis_0.1.10.2.tgz, r-oldrel: largeVis_0.1.10.2.tgz |
Old sources: | largeVis archive |
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