{"id":"https://openalex.org/W2910327104","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534228","title":"Reliable Agglomerative Clustering","display_name":"Reliable Agglomerative Clustering","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W2910327104","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534228","mag":"2910327104"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.02063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103015876","display_name":"Morteza Haghir Chehreghani","orcid":"https://orcid.org/0000-0002-2912-7422"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Morteza Haghir Chehreghani","raw_affiliation_strings":["Chalmers University of Technology","Chalmers University of Technology,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103015876"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9952999949455261,"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/T11106","display_name":"Data Management and Algorithms","score":0.9821000099182129,"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/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.8155738115310669},{"id":"https://openalex.org/keywords/hierarchical-clustering-of-networks","display_name":"Hierarchical clustering of networks","score":0.739124596118927},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7011048793792725},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.6535755395889282},{"id":"https://openalex.org/keywords/complete-linkage","display_name":"Complete linkage","score":0.6135517954826355},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.6062405705451965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977592468261719},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.5077337026596069},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.5057897567749023},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5036210417747498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4358755052089691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31580090522766113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29909780621528625},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.24869772791862488},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.17931488156318665},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06992986798286438}],"concepts":[{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.8155738115310669},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.739124596118927},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7011048793792725},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.6535755395889282},{"id":"https://openalex.org/C38734473","wikidata":"https://www.wikidata.org/wiki/Q5156506","display_name":"Complete linkage","level":5,"score":0.6135517954826355},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.6062405705451965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977592468261719},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5077337026596069},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.5057897567749023},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5036210417747498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4358755052089691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31580090522766113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29909780621528625},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.24869772791862488},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.17931488156318665},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06992986798286438},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.02063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.02063","pdf_url":"https://arxiv.org/pdf/1901.02063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"mag:2910327104","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1901.02063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1901.02063","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.02063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"pmh:oai:arXiv.org:1901.02063","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.02063","pdf_url":"https://arxiv.org/pdf/1901.02063","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W77400549","https://openalex.org/W108464071","https://openalex.org/W317995076","https://openalex.org/W564523646","https://openalex.org/W1533133806","https://openalex.org/W1599454686","https://openalex.org/W1788661182","https://openalex.org/W1965680834","https://openalex.org/W1982512167","https://openalex.org/W1999478155","https://openalex.org/W1999917965","https://openalex.org/W2002830978","https://openalex.org/W2007995029","https://openalex.org/W2011832962","https://openalex.org/W2016381774","https://openalex.org/W2017927472","https://openalex.org/W2020735245","https://openalex.org/W2020964455","https://openalex.org/W2023251028","https://openalex.org/W2026513874","https://openalex.org/W2055063781","https://openalex.org/W2085471103","https://openalex.org/W2087216833","https://openalex.org/W2098063062","https://openalex.org/W2099097464","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2132377940","https://openalex.org/W2132914434","https://openalex.org/W2138615112","https://openalex.org/W2141585940","https://openalex.org/W2152509557","https://openalex.org/W2160805215","https://openalex.org/W2162833336","https://openalex.org/W2165874743","https://openalex.org/W2181557923","https://openalex.org/W2185184584","https://openalex.org/W2229908198","https://openalex.org/W2461565936","https://openalex.org/W2507846080","https://openalex.org/W2605349387","https://openalex.org/W2606287509","https://openalex.org/W2752002846","https://openalex.org/W2758083860","https://openalex.org/W2773737997","https://openalex.org/W2774226891","https://openalex.org/W2775245461","https://openalex.org/W2962955788","https://openalex.org/W2962962407","https://openalex.org/W2963737091","https://openalex.org/W3049472892","https://openalex.org/W4205930639","https://openalex.org/W4235169531","https://openalex.org/W4255306344","https://openalex.org/W6604435246","https://openalex.org/W6635780513","https://openalex.org/W6678137988","https://openalex.org/W6678914141","https://openalex.org/W6680970901","https://openalex.org/W6684578312","https://openalex.org/W6686529103","https://openalex.org/W6728181580","https://openalex.org/W6729049099"],"related_works":["https://openalex.org/W2118903848","https://openalex.org/W2170830881","https://openalex.org/W1599454686","https://openalex.org/W3097717036","https://openalex.org/W2325655573","https://openalex.org/W1568470929","https://openalex.org/W3202164597","https://openalex.org/W2939724359","https://openalex.org/W2025456040","https://openalex.org/W2605148547","https://openalex.org/W2982673782","https://openalex.org/W2160785859","https://openalex.org/W3105029140","https://openalex.org/W2077066055","https://openalex.org/W2900027528","https://openalex.org/W2309230723","https://openalex.org/W2357143660","https://openalex.org/W2144336928","https://openalex.org/W2006486857","https://openalex.org/W2065856250"],"abstract_inverted_index":{"Standard":[0],"agglomerative":[1,48],"clustering":[2],"suggests":[3],"establishing":[4],"a":[5,38,63],"new":[6],"reliable":[7,27],"linkage":[8,60],"at":[9,29],"every":[10],"step.":[11],"However,":[12],"in":[13],"order":[14],"to":[15,75,83],"provide":[16],"adaptive,":[17],"density-consistent":[18],"and":[19],"flexible":[20],"solutions,":[21],"we":[22],"study":[23,53],"extracting":[24],"all":[25,44],"the":[26,34,58,77,84],"linkages":[28],"each":[30],"step,":[31],"instead":[32],"of":[33,79],"smallest":[35],"one.":[36],"Such":[37],"strategy":[39,56,81],"can":[40],"be":[41],"applied":[42],"with":[43,57],"common":[45],"criteria":[46],"for":[47],"hierarchical":[49],"clustering.":[50],"We":[51,68],"also":[52],"that":[54],"this":[55,80],"single":[59],"criterion":[61],"yields":[62],"minimum":[64],"spanning":[65],"tree":[66],"algorithm.":[67],"perform":[69],"experiments":[70],"on":[71],"several":[72],"real-world":[73],"datasets":[74],"demonstrate":[76],"performance":[78],"compared":[82],"standard":[85],"alternative.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}