Principal components analysis (PCA) is the optimal linear auto-encoder o...
We explain theoretically a curious empirical phenomenon: "Approximating ...
Let X be a data matrix of rank ρ, whose rows represent n points in
d-dim...
This paper discusses the topic of dimensionality reduction for k-means
c...
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