query: What are the units in this PCA biplot?
positive_passages.docid: 118997
positive_passages.text: What are the four axes on PCA biplot?
negative_passages.docid: 51254
negative_passages.text: How to project a new vector onto the PC space using kernel PCA?
negative_passages.docid: 14465
negative_passages.text: "Normalizing" variables for SVD / PCA
negative_passages.docid: 134201
negative_passages.text: How do I select the number of components for independent components analysis?
negative_passages.docid: 6058
negative_passages.text: Visualizing a million, PCA edition
negative_passages.docid: 45832
negative_passages.text: What is the relation between k-means clustering and PCA?
negative_passages.docid: 154261
negative_passages.text: PCA when the dimensionality is greater than the number of samples
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: 3589
negative_passages.text: How to reverse PCA and reconstruct original variables from several principal components?
negative_passages.docid: 9286
negative_passages.text: Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
negative_passages.docid: 107310
negative_passages.text: How do I appropriately examine the dimensionality of binary data?
negative_passages.docid: 41608
negative_passages.text: Weighted principal components analysis
negative_passages.docid: 79849
negative_passages.text: plotting discrete signals
negative_passages.docid: 76866
negative_passages.text: Positioning the arrows on a PCA biplot
negative_passages.docid: 129473
negative_passages.text: Analyse ACF and PACF plots
negative_passages.docid: 112134
negative_passages.text: What are principal component scores?
negative_passages.docid: 39839
negative_passages.text: Doing principal component analysis or factor analysis on binary data