{"id":"https://openalex.org/W4414359754","doi":"https://doi.org/10.24963/ijcai.2025/750","title":"Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction","display_name":"Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359754","doi":"https://doi.org/10.24963/ijcai.2025/750"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/750","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-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/A5067346539","display_name":"Jiaxuan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxuan Xu","raw_affiliation_strings":["School of Computer Science, Sichuan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103153652","display_name":"Lei Duan","orcid":"https://orcid.org/0000-0001-7254-1832"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Duan","raw_affiliation_strings":["School of Computer Science, Sichuan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101680224","display_name":"Xinye Wang","orcid":"https://orcid.org/0000-0003-2095-6117"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinye Wang","raw_affiliation_strings":["School of Computer Science, Sichuan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016197750","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-3294-5071"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067346539"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":2.8331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92477827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6740","last_page":"6748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.774399995803833,"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/T10320","display_name":"Neural Networks and Applications","score":0.774399995803833,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.6610000133514404,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.6362000107765198,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.9708999991416931},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7233999967575073},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4893999993801117},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4627000093460083},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.38530001044273376},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.38530001044273376},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.9708999991416931},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7233999967575073},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4893999993801117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.489300012588501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48339998722076416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.38530001044273376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38269999623298645},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.3781999945640564},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3671000003814697},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3474000096321106},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.34599998593330383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32899999618530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3111000061035156},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C85136909","wikidata":"https://www.wikidata.org/wiki/Q939272","display_name":"Incidence matrix","level":3,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/750","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ensemble":[0],"clustering":[1,12,55,70,81,187],"learns":[2],"a":[3,8,63,84,88,110,119,148,152],"consensus":[4,154,179],"result":[5],"by":[6,41,163],"integrating":[7],"set":[9],"of":[10,97,143,196],"base":[11,80,186],"results.":[13,188],"Recently,":[14],"anchor-based":[15,68],"methods":[16,35],"construct":[17],"an":[18],"anchor":[19,43,50,121],"similarity":[20,51,122],"matrix":[21,52,106,112,182],"to":[22,48,93,113,127,135],"represent":[23],"the":[24,79,95,98,103,129,132,141,165,168,173,177,185,193,197],"affinity":[25],"relationships":[26],"among":[27],"samples,":[28],"significantly":[29],"improving":[30],"computational":[31],"efficiency.":[32],"However,":[33],"these":[34],"struggle":[36],"with":[37],"fixed":[38],"anchors":[39],"generated":[40],"static":[42],"learning":[44],"strategies,":[45],"which":[46],"lead":[47],"low-quality":[49],"and":[53,86,108,151,176],"poor":[54],"accuracy.":[56],"To":[57,139],"address":[58],"this":[59],"issue,":[60],"we":[61,146],"propose":[62],"novel":[64,89],"method":[65],"named":[66],"dynamic":[67],"ensemble":[69],"via":[71],"hypergraph":[72,85,90,104,130,137,144,149,174],"reconstruction":[73],"(YACHT).":[74],"Specifically,":[75],"YACHT":[76,101,125],"first":[77],"transforms":[78],"results":[82,191],"into":[83,131],"designs":[87],"enhancement":[91],"strategy":[92],"improve":[94],"reliability":[96],"initial":[99],"hypergraph.":[100],"reconstructs":[102],"through":[105],"factorization":[107],"introduces":[109],"mapping":[111],"filter":[114],"out":[115],"redundant":[116],"information,":[117],"capturing":[118],"high-quality":[120],"matrix.":[123],"Then,":[124],"attempts":[126],"incorporate":[128],"optimization":[133],"objective":[134],"achieve":[136],"updates.":[138],"ensure":[140],"accuracy":[142],"updates,":[145],"impose":[147],"regularizer":[150,175],"local":[153,178],"information":[155,180],"alignment":[156,159],"term.":[157],"The":[158,200],"term":[160],"is":[161,202],"implemented":[162],"minimizing":[164],"discrepancy":[166],"between":[167],"label":[169],"partition":[170],"derived":[171],"from":[172,184],"indicator":[181],"extracted":[183],"Extensive":[189],"experimental":[190],"demonstrate":[192],"outstanding":[194],"performance":[195],"proposed":[198],"YACHT.":[199],"code":[201],"available":[203],"at":[204],"https://github.com/scu-kdde/YACHT.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}