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.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/21h1rc68alj388x7lna84ljxnc9clj3l-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/rs0gbhbn1krl7c93im62wk38fg53w3qi-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/kgd556ml5r87bz0qsc0spz416gdl76r1-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/cziz7gjsh5f799idbvrj1bdrrdwrfkly-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/8mjsiivnck3sybvmk44f2hn06008ww6q-python-pyfit-sne-1.0.1.drv |
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