{"id":"https://openalex.org/W2532299646","doi":"https://doi.org/10.1109/tsp.2018.2813322","title":"Hierarchical Clustering Given Confidence Intervals of Metric Distances","display_name":"Hierarchical Clustering Given Confidence Intervals of Metric Distances","publication_year":2018,"publication_date":"2018-03-08","ids":{"openalex":"https://openalex.org/W2532299646","doi":"https://doi.org/10.1109/tsp.2018.2813322","mag":"2532299646"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2018.2813322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2813322","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","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/A5102999964","display_name":"Weiyu Huang","orcid":"https://orcid.org/0000-0003-4457-1131"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weiyu Huang","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078862959","display_name":"Alejandro Ribeiro","orcid":"https://orcid.org/0000-0003-4230-9906"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandro Ribeiro","raw_affiliation_strings":["Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102999964"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.8144,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.78533724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"10","first_page":"2600","last_page":"2615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9988999962806702,"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":0.9988999962806702,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7955194115638733},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.7031698226928711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6023699641227722},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6010649800300598},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.5140429735183716},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.48195454478263855},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.47195497155189514},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4345918297767639},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4293457269668579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39794665575027466},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3570432662963867},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.33917945623397827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33392179012298584},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2662518322467804},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.23172730207443237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1427696943283081}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7955194115638733},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.7031698226928711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6023699641227722},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6010649800300598},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.5140429735183716},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.48195454478263855},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.47195497155189514},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4345918297767639},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4293457269668579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39794665575027466},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3570432662963867},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.33917945623397827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33392179012298584},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2662518322467804},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.23172730207443237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1427696943283081},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2018.2813322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2018.2813322","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W115754844","https://openalex.org/W151377110","https://openalex.org/W1496151277","https://openalex.org/W1521463944","https://openalex.org/W1671098680","https://openalex.org/W1673310716","https://openalex.org/W1744063094","https://openalex.org/W1954168145","https://openalex.org/W1974603499","https://openalex.org/W1977541023","https://openalex.org/W1977556410","https://openalex.org/W1981124118","https://openalex.org/W1995450389","https://openalex.org/W2002165972","https://openalex.org/W2011832962","https://openalex.org/W2018040777","https://openalex.org/W2047109555","https://openalex.org/W2054050358","https://openalex.org/W2058915276","https://openalex.org/W2066680326","https://openalex.org/W2066965880","https://openalex.org/W2069748249","https://openalex.org/W2096879261","https://openalex.org/W2106582507","https://openalex.org/W2110553125","https://openalex.org/W2113728436","https://openalex.org/W2114976831","https://openalex.org/W2117218739","https://openalex.org/W2124553620","https://openalex.org/W2136145920","https://openalex.org/W2140829309","https://openalex.org/W2153886236","https://openalex.org/W2159585070","https://openalex.org/W2161160262","https://openalex.org/W2165879774","https://openalex.org/W2166778951","https://openalex.org/W2167748240","https://openalex.org/W2171660758","https://openalex.org/W2293385817","https://openalex.org/W2319660501","https://openalex.org/W2319929750","https://openalex.org/W2345506269","https://openalex.org/W2403021721","https://openalex.org/W2611308315","https://openalex.org/W2650462619","https://openalex.org/W2885466665","https://openalex.org/W2951793426","https://openalex.org/W2964292956","https://openalex.org/W2999484166","https://openalex.org/W6606062967","https://openalex.org/W6629638098","https://openalex.org/W6637131181","https://openalex.org/W6675996186","https://openalex.org/W6680977128","https://openalex.org/W6684179334","https://openalex.org/W6684577092","https://openalex.org/W6712801415","https://openalex.org/W6736883284","https://openalex.org/W6753939893","https://openalex.org/W6764043570"],"related_works":["https://openalex.org/W2384052049","https://openalex.org/W4231226332","https://openalex.org/W2161927371","https://openalex.org/W4220814143","https://openalex.org/W2367205823","https://openalex.org/W4200113299","https://openalex.org/W2087424554","https://openalex.org/W2379907417","https://openalex.org/W2769245605","https://openalex.org/W1981213098"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"metric":[3,77],"the":[4,28,46,51,71,86,90,105,127,166],"exact":[5],"dissimilarities":[6],"between":[7,149,184],"pairs":[8],"of":[9,30,36,50,55,73,89,129,191],"points":[10,139],"are":[11,82,103,117,120,134],"not":[12,112],"unknown":[13],"but":[14,111],"known":[15],"to":[16,18,24,65,122],"belong":[17],"some":[19],"interval.":[20],"The":[21,154],"goal":[22],"is":[23,59],"study":[25],"methods":[26,58,64,68,116,157],"for":[27],"determination":[29],"hierarchical":[31,56,162],"clusters,":[32],"i.e.,":[33],"a":[34,41,76,97],"family":[35],"nested":[37],"partitions":[38],"indexed":[39],"by":[40,96,136,143],"resolution":[42],"parameter,":[43],"induced":[44],"from":[45,151],"given":[47],"distance":[48,101],"intervals":[49],"dissimilarities.":[52],"Our":[53],"construction":[54],"clustering":[57,137,144,156,163],"based":[60,188],"on":[61,189],"defining":[62],"admissible":[63,115,130],"be":[66],"those":[67],"that":[69],"satisfy":[70],"axioms":[72],"value-nodes":[74],"in":[75,126,159,171,177,181],"space":[78,128],"with":[79],"two":[80],"nodes":[81],"clustered":[83,110],"together":[84],"at":[85],"convex":[87],"combination":[88],"upper":[91],"and":[92,119,142,168],"lower":[93],"bounds":[94,102,125,190],"determined":[95],"parameter-and":[98],"transformation-when":[99],"both":[100],"reduced,":[104],"output":[106],"may":[107],"become":[108],"more":[109],"less.":[113],"Two":[114],"constructed":[118],"shown":[121],"provide":[123],"universal":[124],"methods.":[131],"Practical":[132],"implications":[133],"explored":[135],"moving":[138],"via":[140,165],"snapshots":[141],"coauthorship":[145],"networks":[146],"representing":[147],"collaboration":[148,179],"researchers":[150],"different":[152,185],"communities.":[153],"proposed":[155],"succeed":[158],"identifying":[160],"underlying":[161],"structures":[164],"maximum":[167],"minimum":[169],"distances":[170],"all":[172],"snapshots,":[173],"as":[174,176],"well":[175],"differentiating":[178],"patterns":[180],"journal":[182],"publications":[183],"research":[186],"communities":[187],"network":[192],"distances.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}