Pattern matching under DTW distance
August 31, 2022 Β· Declared Dead Β· π SPIRE
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Authors
Garance Gourdel, Anne Driemel, Pierre Peterlongo, Tatiana Starikovskaya
arXiv ID
2208.14669
Category
cs.DS: Data Structures & Algorithms
Citations
3
Venue
SPIRE
Last Checked
4 months ago
Abstract
In this work, we consider the problem of pattern matching under the dynamic time warping (DTW) distance motivated by potential applications in the analysis of biological data produced by the third generation sequencing. To measure the DTW distance between two strings, one must "warp" them, that is, double some letters in the strings to obtain two equal-lengths strings, and then sum the distances between the letters in the corresponding positions. When the distances between letters are integers, we show that for a pattern P with m runs and a text T with n runs: 1. There is an O(m + n)-time algorithm that computes all locations where the DTW distance from P to T is at most 1; 2. There is an O(kmn)-time algorithm that computes all locations where the DTW distance from P to T is at most k. As a corollary of the second result, we also derive an approximation algorithm for general metrics on the alphabet.
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