Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable – but they break down when non-linear patterns appear. This is exactly what happens with datasets like two …
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Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable – but they break down when non-linear patterns appear. This is exactly what happens with datasets like two …