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BUILT-IN MATHEMATICA SYMBOL

CorrelationDistance

gives the correlation coefficient distance between vectors u and v.

CorrelationDistance is equivalent to 1-(u-Mean[u]).(v-Mean[v])/(Norm[u-Mean[u]]Norm[v-Mean[v]]). »

The correlation distance between two vectors:

Correlation distance between numeric vectors:

The correlation distance between two vectors:

Out[1]=

Correlation distance between numeric vectors:

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Compute distance between any vectors of equal length:

Compute distance between vectors of any precision:

Cluster data using correlation distance:

Correlation distance includes a dot product scaled by norms:

Correlation distance includes a dot product scaled by Euclidean distances from the mean:

CorrelationDistance is equivalent to CosineDistance of vectors shifted by their means: