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Package python-pyfit-sne @ 1.0.1

Synopsis

FFT-accelerated Interpolation-based t-SNE

Description

t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensionality reduction and visualization of high dimensional datasets. A popular implementation of t-SNE uses the Barnes-Hut algorithm to approximate the gradient at each iteration of gradient descent. This package is a Cython wrapper for FIt-SNE.

Home page
https://github.com/KlugerLab/pyFIt-SNE
Location
gnu/packages/bioinformatics.scm (line: 14693, column: 2)
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