{"id":"https://openalex.org/W2904419448","doi":"https://doi.org/10.1609/aaai.v33i01.3301118","title":"Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering","display_name":"Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904419448","doi":"https://doi.org/10.1609/aaai.v33i01.3301118","mag":"2904419448"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.3301118","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301118","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3776/3654","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3776/3654","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100705676","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0003-0930-3238"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031297718","display_name":"Jiahui Ye","orcid":"https://orcid.org/0000-0002-6558-6925"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Ye","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6538,"has_fulltext":true,"cited_by_count":114,"citation_normalized_percentile":{"value":0.95000844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"118","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9958999752998352,"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":0.9958999752998352,"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":0.9940999746322632,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9793000221252441,"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/computer-science","display_name":"Computer science","score":0.8201522827148438},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.811614990234375},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6476665735244751},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6126362681388855},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5035392642021179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3991985023021698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3977620601654053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11350607872009277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201522827148438},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.811614990234375},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6476665735244751},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6126362681388855},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5035392642021179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3991985023021698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977620601654053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11350607872009277},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.3301118","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301118","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3776/3654","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/3776","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3776","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/3776/3654","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.3301118","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301118","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3776/3654","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320336197","display_name":"Tsinghua-Berkeley Shenzhen institute","ror":"https://ror.org/02hhwwz98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904419448.pdf","grobid_xml":"https://content.openalex.org/works/W2904419448.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1500351990","https://openalex.org/W1539811621","https://openalex.org/W1550614472","https://openalex.org/W1937059634","https://openalex.org/W2041262647","https://openalex.org/W2050997020","https://openalex.org/W2061064548","https://openalex.org/W2092403294","https://openalex.org/W2100659887","https://openalex.org/W2101324110","https://openalex.org/W2112280891","https://openalex.org/W2112796928","https://openalex.org/W2114112206","https://openalex.org/W2132549764","https://openalex.org/W2136504847","https://openalex.org/W2137823674","https://openalex.org/W2150856297","https://openalex.org/W2154057601","https://openalex.org/W2154415691","https://openalex.org/W2181159407","https://openalex.org/W2337005149","https://openalex.org/W2405459681","https://openalex.org/W2409879278","https://openalex.org/W2520668558","https://openalex.org/W2520937000","https://openalex.org/W2524259110","https://openalex.org/W2532239287","https://openalex.org/W2546561608","https://openalex.org/W2563908351","https://openalex.org/W2564013914","https://openalex.org/W2572663323","https://openalex.org/W2588822028","https://openalex.org/W2608812095","https://openalex.org/W2754064832","https://openalex.org/W2773071069","https://openalex.org/W2780643544","https://openalex.org/W2789004309","https://openalex.org/W2804016075","https://openalex.org/W2807776204","https://openalex.org/W2808262182","https://openalex.org/W2809410879","https://openalex.org/W2891220989","https://openalex.org/W2897402090","https://openalex.org/W2963517422","https://openalex.org/W3197494818","https://openalex.org/W6640561700","https://openalex.org/W6674965006","https://openalex.org/W6676748046","https://openalex.org/W6677114939","https://openalex.org/W6680072048","https://openalex.org/W6680140577","https://openalex.org/W6682303744","https://openalex.org/W6682991666","https://openalex.org/W6685423869","https://openalex.org/W6691474080","https://openalex.org/W6703241181","https://openalex.org/W6728863925","https://openalex.org/W6729263905","https://openalex.org/W6730694978","https://openalex.org/W6731815755","https://openalex.org/W6747296785","https://openalex.org/W6752355065","https://openalex.org/W6752371315","https://openalex.org/W6752672802","https://openalex.org/W6755634998","https://openalex.org/W7030496042"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Clustering":[0,70],"on":[1,117,194],"multi-view":[2,54,131],"data":[3,37,173],"has":[4,94,135,156],"attracted":[5],"much":[6,158],"more":[7,143,183],"attention":[8],"in":[9,21,44,90,162],"the":[10,49,118,149,191,201],"past":[11],"decades.":[12],"Most":[13],"previous":[14],"studies":[15],"assume":[16],"that":[17],"each":[18,45],"instance":[19],"appears":[20],"all":[22,32],"views,":[23],"or":[24],"there":[25],"is":[26,83,115],"at":[27],"least":[28],"one":[29],"view":[30,108],"containing":[31],"instances.":[33],"However,":[34],"real":[35],"world":[36],"often":[38],"suffers":[39],"from":[40],"missing":[41],"some":[42],"instances":[43,147],"view,":[46],"leading":[47],"to":[48,76,88,121,182],"research":[50],"problem":[51],"of":[52,151,164,203],"partial":[53,130],"clustering.":[55,81],"To":[56],"address":[57],"this":[58,60],"issue,":[59],"paper":[61],"proposes":[62],"a":[63,123,157,165],"simple":[64,85],"yet":[65],"effective":[66],"Anchorbased":[67],"Partial":[68],"Multi-view":[69],"(APMC)":[71],"method,":[72],"which":[73],"utilizes":[74],"anchors":[75],"reconstruct":[77],"instance-to-instance":[78],"relationships":[79],"for":[80],"APMC":[82,102,134,204],"conceptually":[84],"and":[86,97,106],"easy":[87],"implement":[89],"practice,":[91],"besides":[92],"it":[93,140,155,169],"clear":[95],"intuitions":[96],"non-trivial":[98],"empirical":[99],"guarantees.":[100],"Specifically,":[101],"firstly":[103],"integrates":[104],"intra-":[105],"inter-":[107],"similarities":[109,120],"through":[110],"anchors.":[111],"Then,":[112],"spectral":[113],"clustering":[114,125,132],"performed":[116],"fused":[119],"obtain":[122],"unified":[124],"result.":[126],"Compared":[127],"with":[128,148,174],"existing":[129],"methods,":[133],"three":[136],"notable":[137],"advantages:":[138],"1)":[139],"can":[141,170],"capture":[142],"non-linear":[144],"relations":[145],"among":[146],"help":[150],"kernel-based":[152],"similarities;":[153],"2)":[154],"lower":[159],"time":[160],"complexity":[161],"virtue":[163],"noniterative":[166],"scheme;":[167],"3)":[168],"inherently":[171],"handle":[172],"negative":[175],"entries":[176],"as":[177,179],"well":[178],"be":[180],"extended":[181],"than":[184],"two":[185],"views.":[186],"Finally,":[187],"we":[188],"extensively":[189],"evaluate":[190],"proposed":[192],"method":[193],"five":[195],"benchmark":[196],"datasets.":[197],"Experimental":[198],"results":[199],"demonstrate":[200],"superiority":[202],"over":[205],"state-of-the-art":[206],"approaches.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}