query: Principal Component Analysis
positive_passages.docid: 8333
positive_passages.text: Does the sign of scores or of loadings in PCA or FA have a meaning? May I reverse the sign?
negative_passages.docid: 17025
negative_passages.text: What exactly is called "principal component" in PCA?
negative_passages.docid: 45858
negative_passages.text: How to compute varimax-rotated principal components in R?
negative_passages.docid: 16523
negative_passages.text: How to compute classification accuracy of PCA?
negative_passages.docid: 49907
negative_passages.text: Clustering variables based on correlations between them
negative_passages.docid: 23640
negative_passages.text: Theory behind partial least squares regression
negative_passages.docid: 22957
negative_passages.text: Cluster analysis as a preliminary analysis
negative_passages.docid: 36609
negative_passages.text: Creating a single index from several principal components or factors retained from PCA/FA
negative_passages.docid: 157062
negative_passages.text: Dimensionality reduction (SVD or PCA) on a large, sparse matrix
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: 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: 6058
negative_passages.text: Visualizing a million, PCA edition
negative_passages.docid: 70917
negative_passages.text: What's the difference between principal component analysis and multidimensional scaling?
negative_passages.docid: 113346
negative_passages.text: What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
negative_passages.docid: 82178
negative_passages.text: Does it make sense to combine PCA and LDA?
negative_passages.docid: 70245
negative_passages.text: Why is the eigenvector in PCA taken to be unit norm?
negative_passages.docid: 29381
negative_passages.text: How to perform dimensionality reduction with PCA in R