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Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling
journal contribution
posted on 2021-12-30, 00:00 authored by James ZhangJames Zhang, Michael JohnstoneMichael Johnstone, Vu LeVu Le, B Khan, Anwar HosenAnwar Hosen, Douglas CreightonDouglas Creighton, J Carney, A Wilson, M LynchDynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling
History
Journal
Expert Systems with ApplicationsVolume
186Article number
ARTN 115684Pagination
1 - 14Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0957-4174eISSN
1873-6793Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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No categories selectedKeywords
Complex socio-technical systemComputer ScienceComputer Science, Artificial IntelligenceDiscrete event simulationDynamic time warpingEngineeringEngineering, Electrical & ElectronicInput modellingOperations Research & Management ScienceScience & TechnologyTechnologyUnsupervised machine learningVALIDATION
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