query: What are the main differences between principal component analysis PCA and factor analysis
positive_passages.docid: 63042
positive_passages.text: What are the differences between Factor Analysis and Principal Component Analysis?
negative_passages.docid: 156944
negative_passages.text: Is there a test/technique/method for comparing principal components decompositions between samples?
negative_passages.docid: 6058
negative_passages.text: Visualizing a million, PCA edition
negative_passages.docid: 70245
negative_passages.text: Why is the eigenvector in PCA taken to be unit norm?
negative_passages.docid: 90089
negative_passages.text: Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
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: 116179
negative_passages.text: Is principal component regression (PCR) using principal component scores for regression?
negative_passages.docid: 84446
negative_passages.text: How to project a new vector onto PCA space?
negative_passages.docid: 29381
negative_passages.text: How to perform dimensionality reduction with PCA in R
negative_passages.docid: 143724
negative_passages.text: Is it possible to use kernel PCA for feature selection?
negative_passages.docid: 29648
negative_passages.text: What are differences between the terms "time series analysis" and "longitudinal data analysis"
negative_passages.docid: 154304
negative_passages.text: Do PCA affect different classification methods?
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: 126726
negative_passages.text: PCA, LDA, CCA, and PLS
negative_passages.docid: 25535
negative_passages.text: Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
negative_passages.docid: 11188
negative_passages.text: Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
negative_passages.docid: 74693
negative_passages.text: difference between linear transformation and its matrix representation .