This package is a Julia interface to Van der Maaten's Barnes-Hut C++ implementation of t-Distributed Stochastic Neighbor Embedding. There are also other wrappers available in Python, Matlab, R and Torch.
Pkg.clone("https://github.com/zhmz90/BHTsne.jl.git")
using BHTsne
using RDatasets
using Gadfly
iris = dataset("datasets", "iris")
samples = convert(Array, iris[:,1:4])
labels = convert(Array, iris[:,5])
results = bh_tsne(samples, perplexity=30, verbose=true)
p = plot(x=results[:,1], y=results[:,2], color=labels)
draw(PNG("tsne_of_iris.png", 8inch, 6inch), p)
function bh_tsne(samples; no_dims=2, initial_dims=50, perplexity=50, theta=0.5, randseed=-1, verbose=false)
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