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The frequency measures the number of times an event occurs in a data set.

2
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You are not looking for clustering. Instead, you are looking for frequent itemset mining. There are dozens of algorithms for this, the most widely known probably are APRIORI, FP-Growth and Eclat.
answered Nov 14 '13 by Anony-Mousse
7
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A common misunderstanding is the term "frequency". To some, it seems to be the count of objects. But usually, frequency is a relative value. TF/IDF usually is a two-fold normalization. First, each … then is a cross-document normalization, that puts less weight on common terms, and more weight on rare terms, by normalizing (weighting) each word with the inverse in-corpus frequency. Here it does not …
answered Jul 22 '13 by Anony-Mousse