{"id":"https://openalex.org/W4318701508","doi":"https://doi.org/10.3233/ida-216240","title":"LSEC: Large-scale spectral ensemble clustering","display_name":"LSEC: Large-scale spectral ensemble clustering","publication_year":2023,"publication_date":"2023-01-30","ids":{"openalex":"https://openalex.org/W4318701508","doi":"https://doi.org/10.3233/ida-216240"},"language":"en","primary_location":{"id":"doi:10.3233/ida-216240","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216240","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5100700817","display_name":"Hongmin Li","orcid":"https://orcid.org/0009-0009-7380-0029"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hongmin Li","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Tsukuba, Japan","Department of Computer Science University of Tsukuba Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063256241","display_name":"Xiucai Ye","orcid":"https://orcid.org/0000-0002-5547-3919"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiucai Ye","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Tsukuba, Japan","Department of Computer Science University of Tsukuba Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047435295","display_name":"Akira Imakura","orcid":"https://orcid.org/0000-0003-4994-2499"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Imakura","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Tsukuba, Japan","Department of Computer Science University of Tsukuba Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038336830","display_name":"Tetsuya Sakurai","orcid":"https://orcid.org/0000-0002-5789-7547"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Sakurai","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Tsukuba, Japan","Department of Computer Science University of Tsukuba Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100700817"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":1.7449,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86476051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"59","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9972000122070312,"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":0.9972000122070312,"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/T10057","display_name":"Face and Expression Recognition","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8221068382263184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6708780527114868},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6548130512237549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49829745292663574},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.4429623782634735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4388483762741089},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.4171731770038605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37923043966293335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3290848731994629},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2925850749015808},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18922549486160278}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8221068382263184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708780527114868},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6548130512237549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49829745292663574},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.4429623782634735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4388483762741089},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.4171731770038605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37923043966293335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3290848731994629},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2925850749015808},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18922549486160278}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-216240","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216240","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338239","display_name":"Co-creation place formation support program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1599173567","https://openalex.org/W1648123822","https://openalex.org/W1967761844","https://openalex.org/W1990063425","https://openalex.org/W2002767255","https://openalex.org/W2011494630","https://openalex.org/W2013029404","https://openalex.org/W2015627422","https://openalex.org/W2028899393","https://openalex.org/W2034662733","https://openalex.org/W2037984690","https://openalex.org/W2044386109","https://openalex.org/W2085044339","https://openalex.org/W2089609272","https://openalex.org/W2108119513","https://openalex.org/W2116810533","https://openalex.org/W2126337883","https://openalex.org/W2134370969","https://openalex.org/W2137901062","https://openalex.org/W2139280638","https://openalex.org/W2150969552","https://openalex.org/W2153293405","https://openalex.org/W2342032814","https://openalex.org/W2537295773","https://openalex.org/W2568618480","https://openalex.org/W2591636916","https://openalex.org/W2598326928","https://openalex.org/W2601026776","https://openalex.org/W2810432309","https://openalex.org/W2903738625","https://openalex.org/W2914663205","https://openalex.org/W2950244530","https://openalex.org/W2952171869","https://openalex.org/W3089607999","https://openalex.org/W3101747232","https://openalex.org/W3121769020","https://openalex.org/W3121976317","https://openalex.org/W3127404219","https://openalex.org/W4247777826","https://openalex.org/W6672858520","https://openalex.org/W6676321539","https://openalex.org/W6704083431"],"related_works":["https://openalex.org/W1482912984","https://openalex.org/W1694785277","https://openalex.org/W1966256533","https://openalex.org/W4352976663","https://openalex.org/W4210453992","https://openalex.org/W4287724928","https://openalex.org/W3041674974","https://openalex.org/W3133691047","https://openalex.org/W2114694099","https://openalex.org/W2091173929"],"abstract_inverted_index":{"A":[0],"fundamental":[1],"problem":[2],"in":[3],"machine":[4],"learning":[5],"is":[6,64],"ensemble":[7,30,45,61,106],"clustering,":[8],"that":[9],"is,":[10],"combining":[11],"multiple":[12],"base":[13,69,78],"clusterings":[14,70,79],"to":[15,34,49,66,89],"obtain":[16,90],"improved":[17,91],"clustering":[18,31,46,93,107],"result.":[19],"However,":[20],"most":[21,104],"of":[22,120,127],"the":[23,77,116,121,128],"existing":[24,105],"methods":[25],"are":[26,80,134],"unsuitable":[27],"for":[28],"large-scale":[29,43,57,113],"tasks":[32],"owing":[33],"efficiency":[35,51,117],"bottlenecks.":[36],"In":[37,54],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42,56,83,99],"spectral":[44,58],"(LSEC)":[47],"method":[48,97,130],"balance":[50],"and":[52,118,131],"effectiveness.":[53],"LSEC,":[55],"clustering-based":[59],"efficient":[60],"generation":[62],"framework":[63],"designed":[65],"generate":[67],"various":[68],"with":[71],"low":[72],"computational":[73,101],"complexity.":[74],"Thereafter,":[75],"all":[76],"combined":[81],"using":[82],"bipartite":[84],"graph":[85],"partition-based":[86],"consensus":[87,92],"function":[88],"results.":[94],"The":[95,124],"LSEC":[96,122],"achieves":[98],"lower":[100],"complexity":[102],"than":[103],"methods.":[108],"Experiments":[109],"conducted":[110],"on":[111],"ten":[112],"datasets":[114,133],"demonstrate":[115],"effectiveness":[119],"method.":[123],"MATLAB":[125],"code":[126],"proposed":[129],"experimental":[132],"available":[135],"at":[136],"https://github.com/Li-Hongmin/MyPaperWithCode.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
