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  2. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    The most widely known string metric is a rudimentary one called the Levenshtein distance (also known as edit distance). [2] It operates between two input strings, returning a number equivalent to the number of substitutions and deletions needed in order to transform one input string into another.

  3. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    The Damerau–Levenshtein distance LD(CA, ABC) = 2 because CA → AC → ABC, but the optimal string alignment distance OSA(CA, ABC) = 3 because if the operation CA → AC is used, it is not possible to use AC → ABC because that would require the substring to be edited more than once, which is not allowed in OSA, and therefore the shortest ...

  4. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    More formally, for any language L and string x over an alphabet Σ, the language edit distance d(L, x) is given by [14] (,) = (,), where (,) is the string edit distance. When the language L is context free , there is a cubic time dynamic programming algorithm proposed by Aho and Peterson in 1972 which computes the language edit distance. [ 15 ]

  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. Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Dynamic_time_warping

    While there are differences in walking speed between repetitions, the spatial paths of limbs remain highly similar. [1] DTW between a sinusoid and a noisy and shifted version of it. In time series analysis , dynamic time warping ( DTW ) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed.

  7. Longest common subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_common_subsequence

    Comparison of two revisions of an example file, based on their longest common subsequence (black) A longest common subsequence (LCS) is the longest subsequence common to all sequences in a set of sequences (often just two sequences).

  8. Puzzle solutions for Friday, Nov. 22, 2024

    www.aol.com/news/puzzle-solutions-friday-nov-22...

    Note: Most subscribers have some, but not all, of the puzzles that correspond to the following set of solutions for their local newspaper. CROSSWORDS

  9. Earth mover's distance - Wikipedia

    en.wikipedia.org/wiki/Earth_mover's_distance

    C code for the Earth Mover's Distance (archived here) Python implementation with references; Python2 wrapper for the C implementation of the Earth Mover's Distance; C++ and Matlab and Java wrappers code for the Earth Mover's Distance, especially efficient for thresholded ground distances; Java implementation of a generic generator for ...