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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. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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).
  11. 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.
  12. 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).
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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).
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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).
  31. 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.
  32. Jorge Ridderstaat, 2023. "Measuring hidden demand and price behavior from US outbound health tourism spending," Tourism Economics, , vol. 29(3), pages 759-787, May.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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).
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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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