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TSNE algorithms

Project description

Python-TSNE

PyPI Testing Coverage Status License

Python library containing T-SNE algorithms.

Note: Scikit-learn v0.17 includes TSNE algorithms and you should probably be using that instead.

Installation

Requirements

  • cblas or openblas. Tested version is v0.2.5 and v0.2.6 (not necessary for OSX).

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.

Project details


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Source Distribution

tsne-0.3.1.tar.gz (547.6 kB view hashes)

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