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1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y, the sample correlation matrix is R=X'Y/(n-1), where n is the number of samples.
2) How to build a sparse matrix for a huge graph (e.g., 100,000 nodes) based on massive samples? Using the above...



The basic functions include the MATLAB implementation of ICC (Intraclass Correlation Coefficient), CCC (Corcordance Correlation Coefficient) and Kendall's W or KCC (Kendall's Coefficient of Concordance).

List of basic functions: