query: What is meant by Principal Component Analysis. including in the explanation the terms given below
positive_passages.docid: 10466
positive_passages.text: Making sense of principal component analysis, eigenvectors & eigenvalues
negative_passages.docid: 125697
negative_passages.text: How to determine significant principal components using bootstrapping or Monte Carlo approach?
negative_passages.docid: 7779
negative_passages.text: How does centering the data get rid of the intercept in regression and PCA?
negative_passages.docid: 22551
negative_passages.text: What can cause PCA to worsen results of a classifier?
negative_passages.docid: 70917
negative_passages.text: What's the difference between principal component analysis and multidimensional scaling?
negative_passages.docid: 126136
negative_passages.text: Fundamental question about dimensional analysis
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: 116362
negative_passages.text: Is PCA unstable under multicollinearity?
negative_passages.docid: 16641
negative_passages.text: Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
negative_passages.docid: 135047
negative_passages.text: Why does PCA maximize total variance of the projection?
negative_passages.docid: 69699
negative_passages.text: How to Understand the Relationships Among Random Variables, Samples, and Populations?
negative_passages.docid: 155987
negative_passages.text: Canonical Correlation analysis without raw data (algebra of CCA)
negative_passages.docid: 25410
negative_passages.text: What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?
negative_passages.docid: 126726
negative_passages.text: PCA, LDA, CCA, and PLS
negative_passages.docid: 6590
negative_passages.text: PCA and proportion of variance explained
negative_passages.docid: 49582
negative_passages.text: How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?