The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
Open accessAbstract
Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other. A variety of algorithms and constraints have been discussed in the literature. The dtw package provides an unification of them; it allows R users to compute time series alignments mixing freely a variety of continuity constraints, restriction windows, endpoints, local distance definitions, and so on. The package also provides functions for visualizing alignments and constraints using several classic diagram types.
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Bioconductor: open software development for computational biology and bioinformatics
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Fundamentals of speech recognition
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Dynamic Programming Algorithm Optimization for Spoken Word Recognition
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Exact indexing of dynamic time warping
Keogh, E., & Ratanamahatana, C. A. (2005) · Knowledge and Information Systems · doi:10.1007/s10115-004-0154-9 · Cited by 1,962
Toward accurate dynamic time warping in linear time and space
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Minimum prediction residual principle applied to speech recognition
Itakura, F. (1975) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1975.1162641 · Cited by 1,627
Word image matching using dynamic time warping
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Aligning gene expression time series with time warping algorithms
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Metadata
- Authors
- Giorgino, T.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2009
- Volume
- 31
- Issue
- 7
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2107092366
- Cited by
- 1,254
- References
- 24
- FWCI
- 21.92
- Type
- journal article
- Language
- en
- Open access
- diamond
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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