query: How to remove technical noise by discarding several leading PCA components?
positive_passages.docid: 3589
positive_passages.text: How to reverse PCA and reconstruct original variables from several principal components?
negative_passages.docid: 42297
negative_passages.text: Minimum sample size for PCA or FA when the main goal is to estimate only few components?
negative_passages.docid: 138904
negative_passages.text: Recursive feature elimination and one-hot & dummy encoding?
negative_passages.docid: 143908
negative_passages.text: What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
negative_passages.docid: 48240
negative_passages.text: Iterative process for removing extreme samples
negative_passages.docid: 99558
negative_passages.text: How can I avoid circular banding artifacts in clear skies when de-noising?
negative_passages.docid: 134201
negative_passages.text: How do I select the number of components for independent components analysis?
negative_passages.docid: 158823
negative_passages.text: Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
negative_passages.docid: 36609
negative_passages.text: Creating a single index from several principal components or factors retained from PCA/FA
negative_passages.docid: 56298
negative_passages.text: How to remove duplicates from set of machine precision 2D points?
negative_passages.docid: 152420
negative_passages.text: Robust PCA vs. robust Mahalanobis distance for outlier detection
negative_passages.docid: 116362
negative_passages.text: Is PCA unstable under multicollinearity?
negative_passages.docid: 93145
negative_passages.text: Can I add several additional variables to my principal component regression?
negative_passages.docid: 17025
negative_passages.text: What exactly is called "principal component" in PCA?
negative_passages.docid: 94576
negative_passages.text: Removing unnecessary vertices?
negative_passages.docid: 126886
negative_passages.text: Do the principal components change if we apply PCA more than once (recursively) on data?
negative_passages.docid: 84446
negative_passages.text: How to project a new vector onto PCA space?