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Results tagged with principal-component-analysis
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user 36657
For questions related to principal component analysis (PCA), which is commonly used in machine learning for dimensionality reduction.
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Is it theoretically possible (or impossible) that principal component analysis worsens the p...
PCA works well where data sample space is linear. If data sample space is not linear or it is manifold data then model without PCA may perform better than model using PCA.
In the given image you ca …
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