What are the fields for Low-rank approximation and Principal component
analysis
I would like to start with practical applications of:
Principal component analysis
Low-rank approximation matrices
the problem that I found is that with some internet researches I can't
really place this 2 topics in a specific branch of the math, and this
means that I can't even find good resources about this 2 arguments.
I work primarily with 3d geometry, so nothing related to applied
statistics or other fields.
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