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  2. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    Presented here are two algorithms: the first, [8] simpler one, computes what is known as the optimal string alignment distance or restricted edit distance, [7] while the second one [9] computes the Damerau–Levenshtein distance with adjacent transpositions.

  3. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    Only for strings of the same length. Number of changed characters. " ka rol in" and "ka thr in" is 3. Levenshtein distance and Damerau–Levenshtein distance: Generalization of Hamming distance that allows for different length strings, and (with Damerau) for transpositions kitten and sitting have a distance of 3. kitten → sitten (substitution ...

  4. Hamming distance - Wikipedia

    en.wikipedia.org/wiki/Hamming_distance

    For a fixed length n, the Hamming distance is a metric on the set of the words of length n (also known as a Hamming space), as it fulfills the conditions of non-negativity, symmetry, the Hamming distance of two words is 0 if and only if the two words are identical, and it satisfies the triangle inequality as well: [2] Indeed, if we fix three words a, b and c, then whenever there is a ...

  5. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  6. Jaro–Winkler distance - Wikipedia

    en.wikipedia.org/wiki/Jaro–Winkler_distance

    In computer science and statistics, the Jaro–Winkler similarity is a string metric measuring an edit distance between two sequences. It is a variant of the Jaro distance metric [1] (1989, Matthew A. Jaro) proposed in 1990 by William E. Winkler.

  7. Hamming weight - Wikipedia

    en.wikipedia.org/wiki/Hamming_weight

    It is thus equivalent to the Hamming distance from the all-zero string of the same length. For the most typical case, a string of bits , this is the number of 1's in the string, or the digit sum of the binary representation of a given number and the ℓ ₁ norm of a bit vector.

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  9. Melde's experiment - Wikipedia

    en.wikipedia.org/wiki/Melde's_experiment

    From this the mass per unit length of the string / wire can be derived. This is called as the principle of the Melde's Experiment Finding the mass per unit length of a piece of string is also possible by using a simpler method – a ruler and some scales – and this will be used to check the results and offer a comparison.