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Finding hidden (statistical) structure in unlabelled data, including clustering and feature extraction for dimensionality reduction.

9
votes
Great question. I will answer it using t-SNE because I assume it is familiar to more people. I think UMAP is very promising and is a great contribution but to be honest I am getting a little bit annoy …
answered Mar 21 by amoeba
8
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To choose an optimal number of latent factors in non-negative matrix factorization, use cross-validation. As you wrote, the aim of NMF is to find low-dimensional $\mathbf W$ and $\mathbf H$ with all …
answered Oct 29 '14 by amoeba