query: Computing the covariance matrix in PCA
positive_passages.docid: 24814
positive_passages.text: Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
negative_passages.docid: 154667
negative_passages.text: Singular values of the data matrix and eigenvalues of the covariance matrix
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: 3089
negative_passages.text: Why PCA of data by means of SVD of the data?
negative_passages.docid: 14181
negative_passages.text: Can averaging all the variables be seen as a crude form of PCA?
negative_passages.docid: 76619
negative_passages.text: Computing kernels of a matrix in distinct cases
negative_passages.docid: 109090
negative_passages.text: Inverting non positive definite covariance matrix
negative_passages.docid: 35178
negative_passages.text: Covariance of order statistics (uniform case)
negative_passages.docid: 7632
negative_passages.text: Interpretation of biplots in principal components analysis
negative_passages.docid: 116362
negative_passages.text: Is PCA unstable under multicollinearity?
negative_passages.docid: 72375
negative_passages.text: Efficiently Constructing Rank One Approximations for a Matrix using SVD
negative_passages.docid: 17635
negative_passages.text: How to create an arbitrary covariance matrix
negative_passages.docid: 10466
negative_passages.text: Making sense of principal component analysis, eigenvectors & eigenvalues
negative_passages.docid: 6206
negative_passages.text: How does centering make a difference in PCA (for SVD and eigen decomposition)?
negative_passages.docid: 156981
negative_passages.text: Generating data with a given sample covariance matrix
negative_passages.docid: 154304
negative_passages.text: Do PCA affect different classification methods?
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?