uncleflo
Registered since September 28th, 2017
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PHP: soundex
Saved by uncleflo on January 19th, 2011.
soundex — Calculate the soundex key of a string: string soundex ( string $str ). Calculates the soundex key of str. Soundex keys have the property that words pronounced similarly produce the same soundex key, and can thus be used to simplify searches in databases where you know the pronunciation but not the spelling. This soundex function returns a string 4 characters long, starting with a letter. This particular soundex function is one described by Donald Knuth in "The Art Of Computer Programming, vol. 3: Sorting And Searching", Addison-Wesley (1973), pp. 391-392.
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PHP: levenshtein
Saved by uncleflo on January 19th, 2011.
levenshtein — Calculate Levenshtein distance between two string: int levenshtein ( string $str1 , string $str2 ). Or: int levenshtein ( string $str1 , string $str2 , int $cost_ins , int $cost_rep , int $cost_del ). The Levenshtein distance is defined as the minimal number of characters you have to replace, insert or delete to transform str1 into str2. The complexity of the algorithm is O(m*n), where n and m are the length of str1 and str2 (rather good when compared to similar_text(), which is O(max(n,m)**3), but still expensive). In its simplest form the function will take only the two strings as parameter and will calculate just the number of insert, replace and delete operations needed to transform str1 into str2. A second variant will take three additional parameters that define the cost of insert, replace and delete operations. This is more general and adaptive than variant one, but not as efficient.
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PHP: similar_text
Saved by uncleflo on January 19th, 2011.
similar_text — Calculate the similarity between two strings: int similar_text ( string $first , string $second [, float &$percent ] ). This calculates the similarity between two strings as described in Oliver [1993]. Note that this implementation does not use a stack as in Oliver's pseudo code, but recursive calls which may or may not speed up the whole process. Note also that the complexity of this algorithm is O(N**3) where N is the length of the longest string. Returns the number of matching chars in both strings.
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