Description Usage Arguments Value Examples
This function calculates a variant of TF-IDF. The input is assumed to contain relative frequencies. IDF is calculated as follows: idf_t = \log\frac{N+1}{n_t}, with N being the total number of documents (i.e., rows) and n_t the number of documents containing term t. We add one to the denominator to prevent terms that appear in every document to become 0.
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ftable |
A matrix, containing "documents" as rows and "terms" as columns. Values are assumed to be normalized by document, i.e., contain relative frequencies. |
A matrix containing TF*IDF values instead of relative frequencies.
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