Julia implementation of L.J.P. van der Maaten and G.E. Hintons t-SNE visualisation technique.
The scripts in the examples folder require Plots, MLDatasets and RDatasets Julia packages.
julia> Pkg.add("TSne")
using TSne, Statistics, MLDatasets
rescale(A; dims=1) = (A .- mean(A, dims=dims)) ./ max.(std(A, dims=dims), eps())
alldata, allabels = MNIST.traindata(Float64);
data = reshape(permutedims(alldata[:, :, 1:2500], (3, 1, 2)),
2500, size(alldata, 1)*size(alldata, 2));
# Normalize the data, this should be done if there are large scale differences in the dataset
X = rescale(data, dims=1);
Y = tsne(X, 2, 50, 1000, 20.0);
using Plots
theplot = scatter(Y[:,1], Y[:,2], marker=(2,2,:auto,stroke(0)), color=Int.(allabels[1:size(Y,1)]))
Plots.pdf(theplot, "myplot.pdf")
julia demo-csv.jl haveheader --labelcol=5 iris-headers.csv
Creates myplot.pdf with t-SNE result visualized using Gadfly.jl.