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Although clustering techniques based on time series distribution characteristics have been extensively studied, methods based on time-varying parameters have only recently been explored and are missing for multivariate time series. This paper fills the gap by proposing a multiway approach for distribution-based clustering of multivariate time series. To show the validity of the proposed clustering procedure, we provide both a simulation study and an application to real air quality time series data.<\/jats:p>","DOI":"10.1007\/s00180-022-01294-5","type":"journal-article","created":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T07:03:02Z","timestamp":1667286182000},"page":"51-92","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multiway clustering with time-varying parameters"],"prefix":"10.1007","volume":"39","author":[{"given":"Roy","family":"Cerqueti","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8770-7049","authenticated-orcid":false,"given":"Raffaele","family":"Mattera","sequence":"additional","affiliation":[]},{"given":"Germana","family":"Scepi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,1]]},"reference":[{"key":"1294_CR1","doi-asserted-by":"crossref","unstructured":"Abdi H, O\u2019Toole AJ, Valentin D et\u00a0al (2005) Distatis: the analysis of multiple distance matrices. 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