{"id":"https://openalex.org/W1966951118","doi":"https://doi.org/10.1080/03610910903168603","title":"A Comparison of Hierarchical Methods for Clustering Functional Data","display_name":"A Comparison of Hierarchical Methods for Clustering Functional Data","publication_year":2009,"publication_date":"2009-09-03","ids":{"openalex":"https://openalex.org/W1966951118","doi":"https://doi.org/10.1080/03610910903168603","mag":"1966951118"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903168603","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903168603","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086226021","display_name":"Laura Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Ferreira","raw_affiliation_strings":["University of South Carolina","Department of Statistics, University of South Carolina, Columbia, South Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Statistics, University of South Carolina, Columbia, South Carolina, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088106883","display_name":"David B. Hitchcock","orcid":"https://orcid.org/0000-0003-0154-8281"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David B. Hitchcock","raw_affiliation_strings":["University of South Carolina","Department of Statistics, University of South Carolina, Columbia, South Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Statistics, University of South Carolina, Columbia, South Carolina, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088106883"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":1.8109,"has_fulltext":false,"cited_by_count":282,"citation_normalized_percentile":{"value":0.86911495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"38","issue":"9","first_page":"1925","last_page":"1949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983000159263611,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9940000176429749,"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/T10885","display_name":"Gene expression and cancer classification","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6086560487747192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5618513822555542},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5461692214012146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37881407141685486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3348379135131836}],"concepts":[{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6086560487747192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5618513822555542},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5461692214012146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37881407141685486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3348379135131836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610910903168603","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903168603","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.1404","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.1404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.sc.edu/~hitchcock/compare_hier_fda.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W193570522","https://openalex.org/W1970169482","https://openalex.org/W1972327596","https://openalex.org/W1998569590","https://openalex.org/W2004363938","https://openalex.org/W2006982253","https://openalex.org/W2016381774","https://openalex.org/W2024959238","https://openalex.org/W2026513874","https://openalex.org/W2028578216","https://openalex.org/W2033403400","https://openalex.org/W2053154970","https://openalex.org/W2054541372","https://openalex.org/W2058178080","https://openalex.org/W2067245109","https://openalex.org/W2072866330","https://openalex.org/W2082503527","https://openalex.org/W2086404203","https://openalex.org/W2088879945","https://openalex.org/W2103453943","https://openalex.org/W2112440119","https://openalex.org/W2118942683","https://openalex.org/W2121741733","https://openalex.org/W2123679438","https://openalex.org/W2127218421","https://openalex.org/W2148541040","https://openalex.org/W2150926065","https://openalex.org/W2153675946","https://openalex.org/W2160880646","https://openalex.org/W2229908198","https://openalex.org/W2326410931","https://openalex.org/W2560320127","https://openalex.org/W2614237344","https://openalex.org/W3021971632","https://openalex.org/W4205685297","https://openalex.org/W4235169531","https://openalex.org/W4298870207"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4395014643","https://openalex.org/W4391913857","https://openalex.org/W3200375535"],"abstract_inverted_index":{"Key":[0],"Words:":[1],"cluster":[2,4,47,118],"analysis;":[3],"sizes;":[5],"misspecification;":[6],"periodic":[7],"functions.":[8],"Functional":[9],"data":[10,17,88,159,179],"analysis":[11,15,48],"(FDA)":[12],"\u2014":[13,28],"the":[14,39,46,60,75,93,96,103,109,113,116,127,143,152,163,173,177,182,185,197],"of":[16,24,34,38,49,62,77,95,105,115,129,145,157,184],"that":[18],"can":[19],"be":[20,170],"considered":[21],"a":[22,71,134,154],"set":[23,156,180],"observed":[25],"continuous":[26],"functions":[27,98],"is":[29,45,167],"an":[30],"increasingly":[31],"common":[32],"class":[33],"statistical":[35],"analysis.":[36],"One":[37],"most":[40],"widely":[41],"used":[42,124],"FDA":[43],"methods":[44,64,81,138,175],"functional":[50,66,84,158,203],"data;":[51],"however,":[52],"little":[53],"work":[54],"has":[55,147],"been":[56,148],"done":[57],"to":[58,108,125,169,192,195],"compare":[59,126],"performance":[61,76,128],"clustering":[63,83,131,137,165,174,201],"on":[65],"data.":[67,85,204],"In":[68],"this":[69],"paper":[70],"simulation":[72],"study":[73,188],"compares":[74],"four":[78],"major":[79],"hierarchical":[80],"for":[82,176,200],"The":[86,120],"simulated":[87],"varied":[89],"in":[90],"three":[91],"ways:":[92],"nature":[94],"signal":[97,110],"(periodic,":[99],"non-periodic,":[100],"or":[101],"mixed),":[102],"amount":[104],"noise":[106],"added":[107],"functions,":[111],"and":[112],"pattern":[114],"true":[117,164],"sizes.":[119],"Rand":[121],"index":[122],"was":[123,160],"each":[130],"method.":[132],"As":[133],"secondary":[135],"goal,":[136],"were":[139],"also":[140],"compared":[141],"when":[142],"number":[144],"clusters":[146],"misspecified.":[149],"To":[150],"illustrate":[151],"results,":[153],"real":[155,178],"clustered":[161],"where":[162],"structure":[166],"believed":[168],"known.":[171],"Comparing":[172],"confirmed":[181],"findings":[183],"simulation.":[186],"This":[187],"yields":[189],"concrete":[190],"suggestions":[191],"future":[193],"researchers":[194],"determine":[196],"best":[198],"method":[199],"their":[202],"1.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":47},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
