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# System prepended metadata

title: Notes theory ML

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# Notes theory ML


LDA is used to carve up multidimensional space.

PCA is used to collapse multidimensional space.

If you have few data, this is unstable, and you get overfitted projections towards your data points, i.e. a singular within-class covariance matrix. 