Abstract
Edit distance is a measure of similarity of two strings based on the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. The edit distance can be computed exactly using a dynamic programming algorithm that runs in quadratic time. Andoni, Krauthgamer, and Onak (2010) gave a nearly linear time algorithm that approximates edit distance within approximation factor poly(log n). In this article, we provide an algorithm with running time Õ(n2-2/7) that approximates the edit distance within a constant factor.
| Original language | English (US) |
|---|---|
| Article number | 36 |
| Journal | Journal of the ACM |
| Volume | 67 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 2020 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Information Systems
- Hardware and Architecture
- Artificial Intelligence
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