Idea: result of clustering highly depends on how similar are documents
so contribution of a term $t$ is how much it contributes to similarity of two documents
Text clustering is highly dependent on the documents similarity.
The contribution of each term is the overall contribution to documents’ similarities and shown by the following equation:
It's slow - $O(n^2)$