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Most frequent k chars distance: Difference between revisions
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{{draft task}}{{Wikipedia}}
In [[wp:information theory]], '''MostFreqKDistance''' is a [[wp:String metric| string metric]] technique for quickly estimating how [[wp:Similarity measure|similar]] two [[wp:Order theory|ordered sets]] or [[wp:String (computer science)|strings]] are. The scheme was invented by Sadi Evren SEKER,<ref name="mfkc"/> and initially used in [[wp:text mining|text mining]] applications like [[wp:author recognition|author recognition]].<ref name="mfkc">{{citation
| last1 = SEKER | first1 = Sadi E. | author1-link = Sadi Evren SEKER
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