Package: Rtsne 0.17

Rtsne: T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation

An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see <https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).

Authors:Jesse Krijthe [aut, cre], Laurens van der Maaten [cph]

Rtsne_0.17.tar.gz
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Rtsne_0.17.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Rtsne/json (API)
NEWS

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

Bug tracker:https://github.com/jkrijthe/rtsne/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

14.55 score 267 stars 274 packages 7.2k scripts 64k downloads 255 mentions 3 exports 1 dependencies

Last updated from:0e769505ab. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK172
linux-devel-x86_64OK117
source / vignettesOK173
linux-release-arm64OK118
linux-release-x86_64OK153
macos-release-arm64OK97
macos-release-x86_64OK279
macos-oldrel-arm64OK115
macos-oldrel-x86_64OK338
windows-develOK107
windows-releaseOK183
windows-oldrelOK127
wasm-releaseOK110

Exports:normalize_inputRtsneRtsne_neighbors

Dependencies:Rcpp

Readme and manuals

Help Manual

Help pageTopics
Normalize input data matrixnormalize_input
Barnes-Hut implementation of t-Distributed Stochastic Neighbor EmbeddingRtsne Rtsne.data.frame Rtsne.default Rtsne.dist Rtsne_neighbors