I\'m playing around with calculating Levenshtein distances in Haskell, and am a little frustrated with the following performance problem.If you implement it most \'normal\' way for Haskell, like below
I have the following implementation, but I want to add a threshold, so if the result is going to be greater than it, just stop calculating and return.
i have a long list of words that i put into a very simple SOLR / Lucene database. my goal is to find \'similar\' words from the list for single-term queries, where \'similarity\' is specifically under
I\'m back with another longish question. Having experimented with a number of Python-based Damerau-Levenshtein
Yesterday I had a question where people suggested I use Levenshtein me开发者_JAVA百科thod. Is it a slow query? Maybe I can use something else?You can use the BENCHMARK function to test the performance
I recently posted a question about optimizing the algorithm to compute the Levenshtein Distance, and the replies lead me to the Wikipedia article on Levenshtein Distance.
I just implemented a best match file search algorithm to find the closest match to a string in a dictionary. After profiling my code, I found out that the overwhelming majority of time is spent calcul
Is there a package that conta开发者_运维技巧ins Levenshtein distance counting function which is implemented as a C or Fortran code? I have many strings to compare and stringMatch from MiscPsycho is to
I have a database where users upload articles. I would like to make an algorithm where my web app will suggest similar texts according to the one the user reads.
I\'m trying to write a free text search algorithm for finding specific posts on a wall (similar kind of wall as Facebook uses). A user is suppose to be able to write some words in a search field and g
加载中,请稍侯......