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:<math>sim(d_k,q) = \frac{\sum _{j=1}^n \sum _{i=1}^n w_{i,k}*w_{j,q}*t_i \cdot t_j }{\sqrt{\sum _{i=1}^n w_{i,k}^2}*\sqrt{\sum _{i=1}^n w_{i,q}^2}}</math>
where ''t<sub>i</sub>'' and ''t<sub>j</sub>'' are now vectors of a ''2<sup>n</sup>'' dimensional space
Term correlation <math>t_i \cdot t_j</math> can be implemented in several ways. As an example Wong et al. use as input to their algorithm the term occurrence frequency matrix obtained from automatic indexing and the output is term correlation between any pair of index terms.
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