For the problem I\'m working on, finding distances between two sequences to determine their similarity, sequence order is very important. However, the sequences that I have are not all the same length
I\'ve got a text file with str1 str2 str3... and I want to output another text file with LD(str1,str2) LD(str2,str3) LD(str3开发者_Go百科,str4) and so on. How to do this? Any language will do.#ASSUMIN
I\'m am trying to use a levenshtein algorithm I found on the \'net to calculate the closest value to a search term.In order to implement fuzzy term matching.My current query runs about 45 seconds long
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
I want to cluster ~100,000 short strings by something like q-gram distance or simple \"bag distance\" or maybe Levenshtein distance in Python.I was planning to fill out a distance matrix (100,000 choo
I\'m playing around with Levenshteins Edit Distance algorithm, and I want to extend this to count transpositions -- that is, exchanges of adjacent letters -- as 1 edit. The unmodified algorithm counts
Is there a general way to convert between a measure of similarity and a measure of distance? Consider a similarity measure like the number of 2-grams that two strings have in common.
If so, please explain how. Re: what is distance -- \"The distance between two strings is defined as the minimal number of edits required to convert one into the other.\"
I\'m currently working on implementing a fuzzy search for a terminology web service and I\'m looking for suggestions on how I might improve the current implementation. It\'s too much code to share, bu
I\'m working on a fuzzy search implementation and as part of the implementation, we\'re using Apache\'s StringUtils.getLevenshteinDistance. At the moment, we\'re going for a specific maxmimum average
加载中,请稍侯......