dimensionality reductionの例文

例文

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1. PCA is often used in this manner for dimensionality reduction.
2. Nonlinear dimensionality reduction techniques tend to be more computationally demanding than PCA.
3. Laplacian Eigenmaps uses spectral techniques to perform dimensionality reduction.
4. Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
5. One example of this is nonlinear dimensionality reduction.