Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
Published in
arXiv.org(2016)External Links:
TL
TL;DR
Out-of-core randomized principal component analysis (oocPCA) is presented, so that the top principal components of a dataset can be computed without ever fully loading the matrix, hence allowing for t-SNE of large datasets to be computed on resource-limited machines.