Sparse Input Data about bhtsne HOT 2 OPEN

If I´m not mistaken, Truncated SVD is also good for preprocessing sparse data and it can work with scipy.sparse.

http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html

(I am brand new to the field, this is my first ever comment on github - breaking the ice here ;)).

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This is not implemented right now. Both Matlab and Numpy support compressed sparse row matrices, so it would be possible to add this.

For now, a potential way to circumvent this would be to do some kind of (logistic) PCA preprocessing in Matlab / Python and use the reduced data as input into t-SNE. (This is assuming that the full matrix is too big to keep in memory.)

from bhtsne.