• In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance...
    23 KB (3,218 words) - 16:28, 27 March 2024
  • In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of random...
    2 KB (264 words) - 15:51, 7 February 2024
  • Thumbnail for Correlation
    Autocorrelation Canonical correlation Coefficient of determination Cointegration Concordance correlation coefficient Cophenetic correlation Correlation disattenuation...
    37 KB (4,969 words) - 08:58, 20 March 2024
  • Thumbnail for Spearman's rank correlation coefficient
    In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ{\displaystyle...
    31 KB (3,938 words) - 03:44, 8 March 2024
  • Thumbnail for Pearson correlation coefficient
    In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is...
    56 KB (7,859 words) - 00:28, 15 February 2024
  • observed variables. Canonical correlation analysis finds linear relationships among two sets of variables; it is the generalised (i.e. canonical) version of bivariate...
    17 KB (1,859 words) - 17:39, 19 February 2024
  • Thumbnail for Cross-correlation
    In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This...
    26 KB (3,848 words) - 04:13, 4 January 2024
  • Thumbnail for Autocorrelation
    Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function...
    39 KB (5,209 words) - 07:15, 3 March 2024
  • A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...
    6 KB (665 words) - 21:58, 26 March 2024
  • Thumbnail for Principal component analysis
    eigenvectors of a slightly different matrix. PCA is also related to canonical correlation analysis (CCA). CCA defines coordinate systems that optimally describe...
    113 KB (13,985 words) - 17:23, 19 February 2024