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PCA

Principal Component Analysis (PCA) is a linear dimensionality reduction technique that projects data onto orthogonal directions of maximum variance.

#include <cuvs/preprocessing/pca.hpp>

namespace cuvs::preprocessing::pca

Params

.. doxygenstruct:: cuvs::preprocessing::pca::params
    :project: cuvs
    :members:

PCA

.. doxygengroup:: pca
    :project: cuvs
    :members:
    :content-only: