edit-distance

Modify Levenshtein-Distance to ignore order

由 岁酱吖の 提交于 2019-12-10 15:08:12
问题 I'm looking to compute the the Levenshtein-distance between sequences containing up to 6 values. The order of these values should not affect the distance. How would I implement this into the iterative or recursive algorithm? Example: # Currently >>> LDistance('dog', 'god') 2 # Sorted >>> LDistance('dgo', 'dgo') 0 # Proposed >>> newLDistance('dog', 'god') 0 'dog' and 'god' have the exact same letters, sorting the strings before hand will return the desired result. However this doesn't work all

How to find all strings at a given edit distance from a given string

由 孤街浪徒 提交于 2019-12-10 10:09:16
问题 We all have seen in Google, that if we type a query, and make a typo, Google suggests a saner version of the query (which is correct more often than not). Now how do they do it? One possible way I can think of is find out all other strings at an edit distance of 1 from the given string, and if any on of them returns a string with a higher value 'searched` attribute (might come from back-end DB, where each indexed query term has a weight associated with it based on how frequently that term

Complexity of edit distance (Levenshtein distance) recursion top down implementation

由 偶尔善良 提交于 2019-12-06 10:10:33
问题 I have been working all day with a problem which I can't seem to get a handle on. The task is to show that a recursive implementation of edit distance has the time complexity Ω(2 max(n,m) ) where n & m are the length of the words being measured. The implementation is comparable to this small python example def lev(a, b): if("" == a): return len(b) # returns if a is an empty string if("" == b): return len(a) # returns if b is an empty string return min(lev(a[:-1], b[:-1])+(a[-1] != b[-1]), lev

Tools to compute graph edit distance (GED)

由 筅森魡賤 提交于 2019-12-06 05:19:05
问题 I read a lot of theory on computing graph edit distance (GED), or other graph similarity measures (such as http://goo.gl/gmDMgA) but I'm failing to find tools to accomplish such computations. Is there a programming library or softwares that computes graph edit distances, or, once again, any other graph similarity measures, between two graphs? 回答1: There are at least three possibilities for software to compute graph edit distance: GEDEVO , is a software tool for solving the network alignment

How to find all strings at a given edit distance from a given string

由 非 Y 不嫁゛ 提交于 2019-12-05 22:02:13
We all have seen in Google, that if we type a query, and make a typo, Google suggests a saner version of the query (which is correct more often than not). Now how do they do it? One possible way I can think of is find out all other strings at an edit distance of 1 from the given string, and if any on of them returns a string with a higher value 'searched` attribute (might come from back-end DB, where each indexed query term has a weight associated with it based on how frequently that term crops up in queries) than the given string, that string is suggested. If none are found, then strings with

Algorithm to find edit distance to all substrings

由 放肆的年华 提交于 2019-12-05 17:10:26
问题 Given 2 strings s and t . I need to find for each substring in s edit distance(Levenshtein distance) to t . Actually I need to know for each i position in s what is the minimum edit distance for all substrings started at position i . For example: t = "ab" s = "sdabcb" And I need to get something like: {2,1,0,2,2} Explanation: 1st position: distance("ab", "sd") = 4 ( 2*subst ) distance("ab", "sda") = 3( 2*delete + insert ) distance("ab", "sdab") = 2 ( 2 * delete) distance("ab", "sdabc") = 3 (

Faster edit distance algorithm [closed]

由 回眸只為那壹抹淺笑 提交于 2019-12-05 13:00:21
Closed . This question needs to be more focused . It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post . Closed 5 years ago . Problem: I know the trivial edit distance DP formulation and computation in O(mn) for 2 strings of size n and m respectively. But I recently came to know that if we only need to calculate the minimum value of edit distance f and it is bounded |f|<=s, then we can calculate it in O(min(m,n) + s^2) or O(s*min(m,n)) [wikipedia] time. Please explain the dp formulation behind it if

how to convert python/cython unicode string to array of long integers, to do levenshtein edit distance [duplicate]

由 空扰寡人 提交于 2019-12-05 02:29:34
问题 This question already has an answer here : Closed 7 years ago . Possible Duplicate: How to correct bugs in this Damerau-Levenshtein implementation? I have the following Cython code (adapted from the bpbio project) that does Damerau-Levenenshtein edit-distance calculation: #--------------------------------------------------------------------------- cdef extern from "stdlib.h": ctypedef unsigned int size_t size_t strlen(char *s) void *malloc(size_t size) void *calloc(size_t n, size_t size) void

Complexity of edit distance (Levenshtein distance) recursion top down implementation

由 霸气de小男生 提交于 2019-12-04 15:01:27
I have been working all day with a problem which I can't seem to get a handle on. The task is to show that a recursive implementation of edit distance has the time complexity Ω(2 max(n,m) ) where n & m are the length of the words being measured. The implementation is comparable to this small python example def lev(a, b): if("" == a): return len(b) # returns if a is an empty string if("" == b): return len(a) # returns if b is an empty string return min(lev(a[:-1], b[:-1])+(a[-1] != b[-1]), lev(a[:-1], b)+1, lev(a, b[:-1])+1) From: http://www.clear.rice.edu/comp130/12spring/editdist/ I have

Tools to compute graph edit distance (GED)

由 梦想与她 提交于 2019-12-04 10:34:18
I read a lot of theory on computing graph edit distance (GED), or other graph similarity measures (such as http://goo.gl/gmDMgA ) but I'm failing to find tools to accomplish such computations. Is there a programming library or softwares that computes graph edit distances, or, once again, any other graph similarity measures, between two graphs? masoud There are at least three possibilities for software to compute graph edit distance: GEDEVO , is a software tool for solving the network alignment problem. GEDEVO stands for Graph Edit Distance + EVOlution and it utilizes the evolutionary computing
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