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// Calculates the fuzzy match of needle in haystack, // using a modified version of the Levenshtein distance algorithm. // ported from: http://ginstrom.com/scribbles/2007/12/01/fuzzy-substring-matching-with-levenshtein-distance-in-python/ static int levenSubstringIC(S haystack, S needle) { int m = strL(needle), n = strL(haystack); // base cases if (containsIgnoreCase(haystack, needle)) ret 0; int[] v0 = new int[n+1], v1 = new int[n+1]; for i to m: { // iterate over needle v1[0] = i+1; for j to n: { // iterate over haystack int cost = neqic(needle.charAt(i), haystack.charAt(j)) ? 1 : 0; v1[j+1] = min3(v1[j]+1, // insertion v0[j+1]+1, // deletion v0[j]+cost); // substitution } int[] temp = v0; v0 = v1; v1 = temp; } ret minOfIntArray(v0); }
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Travelled to 6 computer(s): bhatertpkbcr, mqqgnosmbjvj, pyentgdyhuwx, pzhvpgtvlbxg, tvejysmllsmz, vouqrxazstgt
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Snippet ID: | #1023862 |
Snippet name: | levenSubstringIC - find leven-closest substring in larger string. complexity O(m*n) |
Eternal ID of this version: | #1023862/18 |
Text MD5: | 9b4b6ac905b2e9f6c10602294e1a53f2 |
Transpilation MD5: | af3329563c64aeeca709f9d60c287c34 |
Author: | stefan |
Category: | javax / a.i. |
Type: | JavaX fragment (include) |
Public (visible to everyone): | Yes |
Archived (hidden from active list): | No |
Created/modified: | 2019-11-11 14:59:59 |
Source code size: | 878 bytes / 25 lines |
Pitched / IR pitched: | No / No |
Views / Downloads: | 320 / 502 |
Version history: | 17 change(s) |
Referenced in: | [show references] |