Python-TSNE
Python library containing T-SNE algorithms.
Note: Scikit-learn v0.17 includes TSNE algorithms and you should probably be using that instead.
Installation
Requirements
From PyPI:
pip install tsne
From conda:
conda install -c maxibor tsne
Usage
Basic usage:
from tsne import bh_sne
X_2d = bh_sne(X)
Examples
Algorithms
Barnes-Hut-SNE
A python (cython) wrapper for Barnes-Hut-SNE aka fast-tsne.
I basically took osdf's code and made it pip compliant.
Additional resources
- See Barnes-Hut-SNE (2013), L.J.P. van der Maaten. It is available on arxiv.
1 maintainer
Metadata
1 maintainer
Release files for tsne 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tsne-0.3.1.tar.gz | 547.6 kB | Details |
Release files / tsne-0.3.1.tar.gz
| Download URL | tsne-0.3.1.tar.gz |
|---|---|
| Size | 547.6 kB |
| Tags | Source |
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