{"id":"https://openalex.org/W3018019331","doi":"https://doi.org/10.1016/j.mlwa.2020.100001","title":"A benchmark study on time series clustering","display_name":"A benchmark study on time series clustering","publication_year":2020,"publication_date":"2020-08-03","ids":{"openalex":"https://openalex.org/W3018019331","doi":"https://doi.org/10.1016/j.mlwa.2020.100001","mag":"3018019331"},"language":"en","primary_location":{"id":"doi:10.1016/j.mlwa.2020.100001","doi":"https://doi.org/10.1016/j.mlwa.2020.100001","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2020.100001","pdf_url":null,"source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.mlwa.2020.100001","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026618812","display_name":"Ali Javed","orcid":"https://orcid.org/0000-0001-9850-2794","observed_orcids":["https://orcid.org/0000-0001-9850-2794"]},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]},{"id":"https://openalex.org/I4405270222","display_name":"Gund Institute for Environment","ror":"https://ror.org/0092mpa94","country_code":"US","type":"other","lineage":["https://openalex.org/I4405270222"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Javed","raw_affiliation_strings":["Department of Computer Science, University of Vermont, Burlington, VT, USA","Gund Institute for Environment, University of Vermont, Burlington, VT, USA"],"raw_orcid":"https://orcid.org/0000-0001-9850-2794","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Gund Institute for Environment, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770","https://openalex.org/I4405270222"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Byung Suk Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]},{"id":"https://openalex.org/I4405270222","display_name":"Gund Institute for Environment","ror":"https://ror.org/0092mpa94","country_code":"US","type":"other","lineage":["https://openalex.org/I4405270222"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Byung Suk Lee","raw_affiliation_strings":["Department of Computer Science, University of Vermont, Burlington, VT, USA","Gund Institute for Environment, University of Vermont, Burlington, VT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Gund Institute for Environment, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770","https://openalex.org/I4405270222"]}]},{"author_position":"last","author":{"id":null,"display_name":"Donna M. Rizzo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]},{"id":"https://openalex.org/I4405270222","display_name":"Gund Institute for Environment","ror":"https://ror.org/0092mpa94","country_code":"US","type":"other","lineage":["https://openalex.org/I4405270222"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donna M. Rizzo","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT, USA","Gund Institute for Environment, University of Vermont, Burlington, VT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Gund Institute for Environment, University of Vermont, Burlington, VT, USA","institution_ids":["https://openalex.org/I111236770","https://openalex.org/I4405270222"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026618812"],"corresponding_institution_ids":["https://openalex.org/I111236770","https://openalex.org/I4405270222"],"apc_list":{"value":2340,"currency":"USD","value_usd":2340},"apc_paid":{"value":2340,"currency":"USD","value_usd":2340},"fwci":11.185,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.98953311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"1","issue":null,"first_page":"100001","last_page":"100001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.0024999999441206455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/time-series-clustering","display_name":"time series clustering","score":1.0},{"id":"https://openalex.org/keywords/benchmark","display_name":"benchmark","score":0.5260000228881836},{"id":"https://openalex.org/keywords/ucr-time-series-archive","display_name":"UCR time series archive","score":0.9330000281333923},{"id":"https://openalex.org/keywords/clustering-algorithm-comparison","display_name":"clustering algorithm comparison","score":0.6639999747276306},{"id":"https://openalex.org/keywords/partitional-clustering","display_name":"partitional clustering","score":0.878000020980835},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"hierarchical clustering","score":1.0},{"id":"https://openalex.org/keywords/density-based-clustering","display_name":"density-based clustering","score":1.0},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"dynamic time warping","score":0.9549999833106995}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8901000022888184},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7994999885559082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271999716758728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7107999920845032},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5271999835968018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47929999232292175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4065999984741211},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.3898000121116638},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.3625999987125397},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.mlwa.2020.100001","doi":"https://doi.org/10.1016/j.mlwa.2020.100001","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2020.100001","pdf_url":null,"source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2004.09546","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.09546","pdf_url":"https://arxiv.org/pdf/2004.09546","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:acc7e177d33545d1883ed8a68c8c1dce","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/acc7e177d33545d1883ed8a68c8c1dce","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning with Applications, Vol 1, Iss , Pp 100001- (2020)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2004.09546","doi":"https://doi.org/10.48550/arxiv.2004.09546","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.09546","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1016/j.mlwa.2020.100001","doi":"https://doi.org/10.1016/j.mlwa.2020.100001","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2020.100001","pdf_url":null,"source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333923","display_name":"Gund Institute for Environment","ror":"https://ror.org/0092mpa94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1523794535","https://openalex.org/W1673310716","https://openalex.org/W1853995153","https://openalex.org/W1883126638","https://openalex.org/W1894414046","https://openalex.org/W1984183317","https://openalex.org/W1987971958","https://openalex.org/W2007287431","https://openalex.org/W2025255202","https://openalex.org/W2029767187","https://openalex.org/W2030644393","https://openalex.org/W2051224630","https://openalex.org/W2085487226","https://openalex.org/W2097747115","https://openalex.org/W2099302229","https://openalex.org/W2108323654","https://openalex.org/W2111162011","https://openalex.org/W2122354896","https://openalex.org/W2127218421","https://openalex.org/W2128061541","https://openalex.org/W2128160875","https://openalex.org/W2138615112","https://openalex.org/W2147347448","https://openalex.org/W2165835468","https://openalex.org/W2170584976","https://openalex.org/W2171975443","https://openalex.org/W2181051703","https://openalex.org/W2184638288","https://openalex.org/W2622816133","https://openalex.org/W2741629207","https://openalex.org/W2748166865","https://openalex.org/W2749768800","https://openalex.org/W2768072802","https://openalex.org/W2769177808","https://openalex.org/W2799925445","https://openalex.org/W2884586244","https://openalex.org/W2902697171","https://openalex.org/W2952380632","https://openalex.org/W2963083182","https://openalex.org/W2995596828","https://openalex.org/W2996634134","https://openalex.org/W4234158367","https://openalex.org/W4235169531"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,17,25,28,36,76,96,108,115],"first":[4],"time":[5,11,32,61],"series":[6,12,33],"clustering":[7,41,47],"benchmark":[8,37,99],"utilizing":[9],"all":[10],"datasets":[13,71],"currently":[14],"available":[15],"in":[16],"University":[18],"of":[19,27,31,46,56],"California":[20],"Riverside":[21],"(UCR)":[22],"archive":[23],"\u2014":[24],"state":[26],"art":[29],"repository":[30],"data.":[34],"Specifically,":[35],"examines":[38],"eight":[39],"popular":[40],"methods":[42,73],"representing":[43],"three":[44,54],"categories":[45],"algorithms":[48],"(partitional,":[49],"hierarchical":[50],"and":[51,53,63,72,94,114],"density-based)":[52],"types":[55],"distance":[57],"measures":[58],"(Euclidean,":[59],"dynamic":[60],"warping,":[62],"shape-based),":[64],"while":[65],"adhering":[66],"to":[67,74,127],"six":[68],"restrictions":[69],"on":[70,111],"make":[75],"comparison":[77],"as":[78,80],"unbiased":[79],"possible.":[81],"A":[82],"phased":[83],"evaluation":[84,125],"approach":[85],"was":[86],"then":[87],"designed":[88],"for":[89,107,123],"summarizing":[90],"dataset-level":[91,116],"assessment":[92,117],"metrics":[93,118],"discussing":[95],"results.":[97],"The":[98],"study":[100],"presented":[101],"can":[102],"be":[103,121],"a":[104],"useful":[105],"reference":[106],"research":[109,130],"community":[110],"its":[112],"own;":[113],"reported":[119],"may":[120],"used":[122],"designing":[124],"frameworks":[126],"answer":[128],"different":[129],"questions.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":17}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-05-01T00:00:00"}