On Practical Accuracy of Edit Distance Approximation Algorithms

Hiroyuki Hanada
Hiroyuki Hanada

arXiv: Data Structures and Algorithms, Volume abs/1701.06134, 2017.

Cited by: 4|Views4


The edit distance is a basic string similarity measure used in many applications such as text mining, signal processing, bioinformatics, and so on. However, the computational cost can be a problem when we repeat many distance calculations as seen in real-life searching situations. A promising solution to cope with the problem is to approx...More



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