python-pyfit-sne 1.0.1 FFT-accelerated Interpolation-based t-SNE
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.
- Website: https://github.com/KlugerLab/pyFIt-SNE
- License: Original BSD
- Package source: bioinformatics.scm
- Patches: None
- Builds: x86_64-linux, i686-linux