Questions tagged [pca]

For questions related to the principal component analysis (PCA) technique, which can be used for dimensionality reduction.

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Cognitive science datasets [closed]

I am looking for an interesting dataset in the field of cognitive science or psychology, analyzable by PCA. Your suggestions will be greatly appreciated. By analyzable by PCA I mean that it contains ...
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Is it theoretically possible (or impossible) that principal component analysis worsens the performance of the model?

In case I had a prediction model and decided to add a PCA step prior to the model, is it theoretically possible/impossible that the number of output dimensions that is better for all tests may perform ...
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PCA + LDA feature extraction

I am trying to reduce the size of my features vectors using PCA and LDA. Following the approach presented here, I cannot understand step 3 and step 4 described in that approach. Why is the ...
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Multiple-dimension scaling (MDS) objective for MDS and PCA

The following is the MDS Objective. Let's think of a senario where I apply MDS with/from the solution I obtained from PCA. Then I calculate the objective function on the initial PCA solution ...
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34 views

Do the eigenvectors represent the original features?

I've got a test dataset with 4 features and the PCA produces a set of 4 eigenvectors, e.g., ...