Correlation[v_1, v_2] gives the correlation between the vectors v_1 and v_2. Correlation[m] gives the correlation matrix for the matrix m. Correlation[m_1, m_2] gives the ...

CorrelationDistance[u, v] gives the correlation coefficient distance between vectors u and v.

ListCorrelate[ker, list] forms the correlation of the kernel ker with list. ListCorrelate[ker, list, k] forms the cyclic correlation in which the k\[Null]^th element of ker ...

Convolution and correlation are central to many kinds of operations on lists of data. They are used in such areas as signal and image processing, statistical data analysis, ...

PartialCorrelationFunction[data, hspec] estimates the partial correlation function at lags hspec from data. PartialCorrelationFunction[tproc, hspec] represents the partial ...

AbsoluteCorrelation[v_1, v_2] gives the absolute correlation between the vectors v_1 and v_2. AbsoluteCorrelation[m] gives the absolute correlation matrix for the matrix m. ...

VertexCorrelationSimilarity[g, u, v] gives the correlation similarity between vertices u and v of the graph g.

AbsoluteCorrelationFunction[data, hspec] estimates the absolute correlation function at lags hspec from data. AbsoluteCorrelationFunction[proc, hspec] represents the absolute ...

CorrelationFunction[data, hspec] estimates the correlation function at lags hspec from data. CorrelationFunction[proc, hspec] represents the correlation function at lags ...

CorrelationTest[{{x_1, y_1}, {x_2, y_2}, ...}] tests whether the correlation coefficient for a bivariate population is zero. CorrelationTest[{{x_1, y_1}, {x_2, y_2}, ...}, ...