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Latent Dirichlet Allocation (LDA) is an unsupervised, statistical approach to document modeling that discovers latent semantic topics in large collections of text. (Do NOT use this for Linear Discriminant Analysis.)

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Plot Latent Dirichlet Allocation output using t-SNE?

I think the approach described in the blog post is reasonable. The goal of t-SNE is to find a representation of the input in low dimensional space such that similar points in the original space are al …
Michał Stolarczyk's user avatar