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Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package

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Cited by:

  1. Christoph J. Börner & Ingo Hoffmann & Jonas Krettek & Tim Schmitz, 2022. "Bitcoin: like a satellite or always hardcore? A core–satellite identification in the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 310-321, July.
  2. Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
  3. Thomas Rawson & Wes Hinsley & Raphael Sonabend & Elizaveta Semenova & Anne Cori & Neil M Ferguson, 2024. "The impact of health inequity on spatial variation of COVID-19 transmission in England," PLOS Computational Biology, Public Library of Science, vol. 20(5), pages 1-15, May.
  4. Dylan Shane Connor & Tom Kemeny & Michael Storper, 2024. "Frontier workers and the seedbeds of inequality and prosperity," Journal of Economic Geography, Oxford University Press, vol. 24(3), pages 393-414.
  5. Charlie Lindgren & Sven-Olov Daunfeldt & Niklas Rudholm & Siril Yella, 2021. "Is intertemporal price discrimination the cause of price dispersion in markets with low search costs?," Applied Economics Letters, Taylor & Francis Journals, vol. 28(11), pages 968-971, June.
  6. Szczepocki Piotr, 2019. "Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(2), pages 63-79, June.
  7. Jia Luo & Jingying Huang & Jiancheng Ma & Siyuan Liu, 2024. "Application of self-attention conditional deep convolutional generative adversarial networks in the fault diagnosis of planetary gearboxes," Journal of Risk and Reliability, , vol. 238(2), pages 260-273, April.
  8. Krzysztof Dmytrów & Beata Bieszk-Stolorz & Joanna Landmesser-Rusek, 2022. "Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method," Energies, MDPI, vol. 15(20), pages 1-17, October.
  9. Chainarong Amornbunchornvej & Elena Zheleva & Tanya Berger-Wolf, 2020. "Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis," Papers 2002.00208, arXiv.org, revised Jun 2020.
  10. Araz, Ozgur M. & Olson, David & Ramirez-Nafarrate, Adrian, 2019. "Predictive analytics for hospital admissions from the emergency department using triage information," International Journal of Production Economics, Elsevier, vol. 208(C), pages 199-207.
  11. MacPherson, Brian & Scott, Ryan & Gras, Robin, 2023. "Using individual-based modelling to investigate a pluralistic explanation for the prevalence of sexual reproduction in animal species," Ecological Modelling, Elsevier, vol. 475(C).
  12. Amato, Umberto & Antoniadis, Anestis & De Feis, Italia & Goude, Yannig & Lagache, Audrey, 2021. "Forecasting high resolution electricity demand data with additive models including smooth and jagged components," International Journal of Forecasting, Elsevier, vol. 37(1), pages 171-185.
  13. Song, Dengwei & Cheng, Yujie & Zhou, An & Lu, Chen & Chong, Jin & Ma, Jian, 2024. "Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
  14. Lucio Palazzo & Riccardo Ievoli, 2023. "Detecting Regional Differences in Italian Health Services during Five COVID-19 Waves," Stats, MDPI, vol. 6(2), pages 1-13, April.
  15. Hongtao Li & Xiaoxuan Li & Shaolong Sun & Zhipeng Huang & Xiaoyan Jia, 2024. "Multivariable forecasting approach of high‐speed railway passenger demand based on residual term of Baidu search index and error correction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2401-2433, November.
  16. Mastroeni, Loretta & Mazzoccoli, Alessandro & Quaresima, Greta & Vellucci, Pierluigi, 2021. "Decoupling and recoupling in the crude oil price benchmarks: An investigation of similarity patterns," Energy Economics, Elsevier, vol. 94(C).
  17. Feifei Zhong & Lingyan Hu & Yingli Chen, 2024. "Robot Variable Impedance Control and Generalizing from Human–Robot Interaction Demonstrations," Mathematics, MDPI, vol. 12(23), pages 1-22, December.
  18. Santiago Bañales & Raquel Dormido & Natividad Duro, 2021. "Smart Meters Time Series Clustering for Demand Response Applications in the Context of High Penetration of Renewable Energy Resources," Energies, MDPI, vol. 14(12), pages 1-22, June.
  19. Sokhna Dieng & Pierre Michel & Abdoulaye Guindo & Kankoe Sallah & El-Hadj Ba & Badara Cissé & Maria Patrizia Carrieri & Cheikh Sokhna & Paul Milligan & Jean Gaudart, 2020. "Application of Functional Data Analysis to Identify Patterns of Malaria Incidence, to Guide Targeted Control Strategies," IJERPH, MDPI, vol. 17(11), pages 1-23, June.
  20. Joanna Landmesser, 2021. "The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 12(3), pages 539-556, September.
  21. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
  22. do Espirito Santo, Jonatas Silva & da Conceição, Jackson Santos & da Costa, Lilia Carolina Carneiro & Fiaccone, Rosemeire Leovigildo & Barreto, Marcos & Ichihara, Maria Yury & Ara, Anderson, 2024. "K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units," LSE Research Online Documents on Economics 122799, London School of Economics and Political Science, LSE Library.
  23. Zhang, D. James & Dabadghao, Shaunak S. & Udenio, Maximiliano, 2025. "Global sourcing under tariffs: A perspective of time series analysis," International Journal of Production Economics, Elsevier, vol. 280(C).
  24. Alvise Finotello & Alessandro Ielpi & Mathieu G. A. Lapôtre & Eli D. Lazarus & Massimiliano Ghinassi & Luca Carniello & Serena Favaro & Davide Tognin & Andrea D’Alpaos, 2024. "Vegetation enhances curvature-driven dynamics in meandering rivers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  25. Orman, Günce Keziban & Labatut, Vincent & Naskali, Ahmet Teoman, 2017. "Exploring the evolution of node neighborhoods in Dynamic Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 375-391.
  26. Zhao, Hongyu & Zhang, Chengzhong & Liao, Chenglin & Wang, Liye & Liu, Weilong & Wang, Lifang, 2025. "Data-driven strategy: A robust battery anomaly detection method for short circuit fault based on mixed features and autoencoder," Applied Energy, Elsevier, vol. 382(C).
  27. Miljkovic, Dragan & Vatsa, Puneet, 2023. "On the linkages between energy and agricultural commodity prices: A dynamic time warping analysis," International Review of Financial Analysis, Elsevier, vol. 90(C).
  28. Beste Hamiye Beyaztas & Ufuk Beyaztas & Soutir Bandyopadhyay & Wei-Min Huang, 2018. "New and Fast Block Bootstrap-Based Prediction Intervals for GARCH(1,1) Process with Application to Exchange Rates," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 168-194, February.
  29. Pedro C. Álvarez-Esteban & Luis A. García-Escudero, 2022. "Robust clustering of functional directional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 181-199, March.
  30. Corey Ducharme & Bruno Agard & Martin Trépanier, 2024. "Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1661-1681, August.
  31. De Gregorio, Alessandro & Maria Iacus, Stefano, 2010. "Clustering of discretely observed diffusion processes," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 598-606, February.
  32. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2023. "Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
  33. Yibo Tang & Meiling Liu & Xiangnan Liu & Ling Wu & Bingyu Zhao & Chuanyu Wu, 2020. "Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors," IJERPH, MDPI, vol. 17(7), pages 1-18, March.
  34. Vatsa, Puneet & Miljkovic, Tatjana & Miljkovic, Dragan, 2024. "Price discovery redux—Analyzing energy spot and futures prices using a dynamic programming approach," Energy Economics, Elsevier, vol. 140(C).
  35. Potrykus, Marcin, 2024. "Dot-com and AI bubbles: Can data from the past be helpful to match the price bubble euphoria phase using dynamic time warping?," Finance Research Letters, Elsevier, vol. 67(PA).
  36. Amovin-Assagba, Martial & Gannaz, Irène & Jacques, Julien, 2022. "Outlier detection in multivariate functional data through a contaminated mixture model," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
  37. Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
  38. repec:osf:socarx:d93sj_v1 is not listed on IDEAS
  39. Jorge Ridderstaat, 2023. "Measuring hidden demand and price behavior from US outbound health tourism spending," Tourism Economics, , vol. 29(3), pages 759-787, May.
  40. Krzysztof Dmytrow & Beata Bieszk-Stolorz, 2021. "Comparison of changes in the labour markets of post-communist countries with other EU member states," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 741-764, December.
  41. Alexandre Lucas & Salvador Carvalhosa, 2022. "Renewable Energy Community Pairing Methodology Using Statistical Learning Applied to Georeferenced Energy Profiles," Energies, MDPI, vol. 15(13), pages 1-16, June.
  42. Joachim Goedhart, 2020. "PlotTwist: A web app for plotting and annotating continuous data," PLOS Biology, Public Library of Science, vol. 18(1), pages 1-10, January.
  43. Yangchen Di & Mingyue Lu & Min Chen & Zhangjian Chen & Zaiyang Ma & Manzhu Yu, 2022. "A quantitative method for the similarity assessment of typhoon tracks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 587-602, May.
  44. Yiyu Li & Qingxu Huang & Ling Zhang & Jian Li & Yingfei Sui & Weichen Zhang, 2022. "Dynamics of Urban Land per Capita in China from 2000 to 2016," Land, MDPI, vol. 12(1), pages 1-16, December.
  45. Christoph F. Kurz & Adriana N. König, 2021. "The causal impact of sugar taxes on soft drink sales: evidence from France and Hungary," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(6), pages 905-915, August.
  46. Minghui Xu & Yibo Luan & Zhenke Zhang & Shengnan Jiang, 2021. "Dietary pattern changes over Africa and its implication for land requirements for food," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(3), pages 1-26, March.
  47. Li He & Martin Trépanier & Bruno Agard, 2021. "Space–time classification of public transit smart card users’ activity locations from smart card data," Public Transport, Springer, vol. 13(3), pages 579-595, October.
  48. Maria. C. Bueso & José Miguel Paredes-Parra & Antonio Mateo-Aroca & Angel Molina-García, 2020. "A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
  49. Timmermans, Catherine & von Sachs, Rainer, 2013. "BAGIDIS: Statistically investigating curves with sharp local patterns using a new functional measure of dissimilarity," LIDAM Discussion Papers ISBA 2013031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  50. Miguel Ángel Ruiz Reina, 2025. "Dynamic Time Warping: Intertemporal Clustering Alignments for Hotel Tourism Demand," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2625-2648, May.
  51. Krzysztof Dmytrów & Joanna Landmesser & Beata Bieszk-Stolorz, 2021. "The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method," Energies, MDPI, vol. 14(13), pages 1-23, July.
  52. Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari, 2021. "Trimmed fuzzy clustering of financial time series based on dynamic time warping," Annals of Operations Research, Springer, vol. 299(1), pages 1379-1395, April.
  53. Alexandra I. Klimenko & Diana A. Vorobeva & Sergey A. Lashin, 2023. "A New Visualization and Analysis Method for a Convolved Representation of Mass Computational Experiments with Biological Models," Mathematics, MDPI, vol. 11(12), pages 1-19, June.
  54. Adibvafa Fallahpour & Vincent Gureghian & Guillaume J. Filion & Ariel B. Lindner & Amir Pandi, 2025. "CodonTransformer: a multispecies codon optimizer using context-aware neural networks," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  55. repec:plo:pone00:0071823 is not listed on IDEAS
  56. Slaets, Leen & Claeskens, Gerda & Hubert, Mia, 2012. "Phase and amplitude-based clustering for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2360-2374.
  57. Beata Bieszk-Stolorz & Krzysztof Dmytrów & Ewa Frąckiewicz, 2024. "Multivariate Analysis of the Sustainable Development of the Silver Economy in the European Union Countries," Sustainability, MDPI, vol. 16(23), pages 1-21, December.
  58. Roberto Benedetti & Federica Piersimoni & Giacomo Pignataro & Francesco Vidoli, 2020. "Identification of spatially constrained homogeneous clusters of COVID‐19 transmission in Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1169-1187, December.
  59. Natalie M. Clark & Trevor M. Nolan & Ping Wang & Gaoyuan Song & Christian Montes & Conner T. Valentine & Hongqing Guo & Rosangela Sozzani & Yanhai Yin & Justin W. Walley, 2021. "Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  60. Neubauer, Lukas & Filzmoser, Peter, 2024. "Improving forecasts for heterogeneous time series by “averaging”, with application to food demand forecasts," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1622-1645.
  61. Christoph J. Borner & Ingo Hoffmann & Jonas Krettek & Lars M. Kurzinger & Tim Schmitz, 2021. "Bitcoin: Like a Satellite or Always Hardcore? A Core-Satellite Identification in the Cryptocurrency Market," Papers 2105.12336, arXiv.org.
  62. Iason Sideris & Francesco Crivelli & Markus Bambach, 2023. "GPyro: uncertainty-aware temperature predictions for additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 243-259, January.
  63. Hikaru Nakahara & Rukia Nawata & Ryota Matsuo & Tomohiro Ohgomori, 2022. "Deterioration of postural control due to the increase of similarity between center of pressure and smooth-pursuit eye movements during standing on one leg," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-20, October.
  64. Olufolajimi Oke & Kavi Bhalla & David C. Love & Sauleh Siddiqui, 2018. "Spatial associations in global household bicycle ownership," Annals of Operations Research, Springer, vol. 263(1), pages 529-549, April.
  65. Chong Guan & Wenting Liu & Jack Yu-Chao Cheng, 2022. "Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’," Annals of Data Science, Springer, vol. 9(1), pages 5-31, February.
  66. Parisa Niloofar & Sanja Lazarova-Molnar, 2023. "Collaborative data-driven reliability analysis of multi-state fault trees," Journal of Risk and Reliability, , vol. 237(5), pages 886-896, October.
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