query: In PCA, can the values in the principle component vectors which are close to zero be removed to see the important features?
positive_passages.docid: 26181
positive_passages.text: Using principal component analysis (PCA) for feature selection
negative_passages.docid: 101622
negative_passages.text: Choosing number of principal components to retain
negative_passages.docid: 41608
negative_passages.text: Weighted principal components analysis
negative_passages.docid: 112134
negative_passages.text: What are principal component scores?
negative_passages.docid: 119947
negative_passages.text: Can a non-zero vector have zero image under every linear functional?
negative_passages.docid: 77989
negative_passages.text: What are the rules for complex-component vectors and why?
negative_passages.docid: 51254
negative_passages.text: How to project a new vector onto the PC space using kernel PCA?
negative_passages.docid: 7603
negative_passages.text: Relationship between SVD and PCA. How to use SVD to perform PCA?
negative_passages.docid: 48567
negative_passages.text: Skewed variables in PCA or factor analysis
negative_passages.docid: 93145
negative_passages.text: Can I add several additional variables to my principal component regression?
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: 86082
negative_passages.text: Interpreting PCA scores
negative_passages.docid: 49582
negative_passages.text: How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
negative_passages.docid: 39839
negative_passages.text: Doing principal component analysis or factor analysis on binary data
negative_passages.docid: 74282
negative_passages.text: Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
negative_passages.docid: 13787
negative_passages.text: Why log-transforming the data before performing principal component analysis?
negative_passages.docid: 139690
negative_passages.text: Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?