{"id":"https://openalex.org/W2071796001","doi":"https://doi.org/10.1145/1390334.1390548","title":"Hypergraph partitioning for document clustering","display_name":"Hypergraph partitioning for document clustering","publication_year":2008,"publication_date":"2008-07-20","ids":{"openalex":"https://openalex.org/W2071796001","doi":"https://doi.org/10.1145/1390334.1390548","mag":"2071796001"},"language":"en","primary_location":{"id":"doi:10.1145/1390334.1390548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","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/A5035368517","display_name":"Tianming Hu","orcid":"https://orcid.org/0000-0002-9254-5862"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Hu","raw_affiliation_strings":["East China Normal University / DongGuan University of Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University / DongGuan University of Technology, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, Newark, USA","Rutgers University - Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University - Newark, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072335181","display_name":"Wenjun Zhou","orcid":"https://orcid.org/0000-0003-2346-8151"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjun Zhou","raw_affiliation_strings":["Rutgers University, Newark, USA","Rutgers University - Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University - Newark, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113588307","display_name":"Sam Yuan Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I126638653","display_name":"South Texas College","ror":"https://ror.org/03038ad20","country_code":"US","type":"education","lineage":["https://openalex.org/I126638653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sam Yuan Sung","raw_affiliation_strings":["South Texas College, McAllen, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Texas College, McAllen, USA","institution_ids":["https://openalex.org/I126638653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043852046","display_name":"Hangzai Luo","orcid":"https://orcid.org/0000-0003-3354-5739"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangzai Luo","raw_affiliation_strings":["East China Normal University, Shanghai, China","East China Normal University, SHANGHAI, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, SHANGHAI, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8775,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95763239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9943000078201294,"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":0.9943000078201294,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.97079998254776,"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":0.9704999923706055,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8779984712600708},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8002798557281494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674114465713501},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.591748833656311},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5744110941886902},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5430954694747925},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45266446471214294},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42300617694854736},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.4179838001728058},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.41425007581710815},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4141845703125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23439311981201172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19374093413352966},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08353447914123535}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8779984712600708},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8002798557281494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674114465713501},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.591748833656311},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5744110941886902},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5430954694747925},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45266446471214294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42300617694854736},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.4179838001728058},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.41425007581710815},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4141845703125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23439311981201172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19374093413352966},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08353447914123535}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1390334.1390548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","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":7,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W207882028","https://openalex.org/W1507051419","https://openalex.org/W1971318281","https://openalex.org/W1977735777","https://openalex.org/W2076287166","https://openalex.org/W2166785535"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4281615795","https://openalex.org/W2552825874"],"abstract_inverted_index":{"Hypergraph":[0],"partitioning":[1,37],"has":[2],"been":[3,61],"considered":[4],"as":[5,22,94],"a":[6,63,83,95],"promising":[7],"method":[8],"to":[9,39,51,97],"address":[10],"the":[11,25,31,33,41,45,52,88,105,153,168],"challenges":[12],"of":[13,35,47,58,66,69,87,90,107,119,162,173],"high":[14],"dimensionality":[15],"in":[16,77,160],"document":[17,139],"clustering.":[18],"With":[19,100],"documents":[20,28],"modeled":[21],"vertices":[23],"and":[24,109,122,128],"relationship":[26],"among":[27],"captured":[29],"by":[30],"hyperedges,":[32,91,152],"goal":[34],"graph":[36],"is":[38,49,71],"minimize":[40],"edge":[42],"cut.":[43],"Therefore,":[44],"definition":[46,89],"hyperedges":[48,59,70,121],"vital":[50],"clustering":[53,154],"performance.":[54],"While":[55],"several":[56],"definitions":[57],"have":[60],"proposed,":[62],"systematic":[64],"understanding":[65],"desired":[67],"characteristics":[68],"still":[72],"missing.":[73],"To":[74],"that":[75],"end,":[76],"this":[78,101],"paper,":[79],"we":[80,114,132],"first":[81],"provide":[82],"unified":[84],"clique":[85,120],"perspective":[86],"which":[92],"serves":[93],"guide":[96],"define":[98],"hyperedges.":[99],"perspective,":[102],"based":[103,151],"on":[104],"concepts":[106],"hypercliques":[108],"shared":[110,147],"(reverse)":[111,148],"nearest":[112,149],"neighbors,":[113],"propose":[115],"three":[116],"new":[117],"types":[118],"analyze":[123],"their":[124],"properties":[125],"regarding":[126],"purity":[127],"size":[129],"issues.":[130],"Finally,":[131],"present":[133],"an":[134],"extensive":[135],"evaluation":[136],"using":[137],"real-world":[138],"datasets.":[140],"The":[141],"experimental":[142],"results":[143],"show":[144],"that,":[145],"with":[146],"neighbor":[150],"performance":[155],"can":[156],"be":[157],"improved":[158],"significantly":[159],"terms":[161],"various":[163],"external":[164],"validation":[165],"measures":[166],"without":[167],"need":[169],"for":[170],"fine":[171],"tuning":[172],"parameters.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
