{"id":"https://openalex.org/W4392157615","doi":"https://doi.org/10.1109/tmm.2024.3367605","title":"Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering","display_name":"Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392157615","doi":"https://doi.org/10.1109/tmm.2024.3367605"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3367605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3367605","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5101555050","display_name":"Wenhui Zhao","orcid":"https://orcid.org/0000-0002-6380-5370"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhui Zhao","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6380-5370","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584016","display_name":"Qin Li","orcid":"https://orcid.org/0000-0001-5220-9090"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Li","raw_affiliation_strings":["School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5220-9090","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100580973","display_name":"Huafu Xu","orcid":"https://orcid.org/0009-0007-2848-9900"},"institutions":[{"id":"https://openalex.org/I4210112430","display_name":"Guangxi Zhuang Autonomous Region Health and Family Planning","ror":"https://ror.org/022z3g211","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210112430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafu Xu","raw_affiliation_strings":["Guangxi Key Laboratory of Digital Infrastructure, Information Center of Guangxi Zhuang Autonomous Region, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Digital Infrastructure, Information Center of Guangxi Zhuang Autonomous Region, Nanning, China","institution_ids":["https://openalex.org/I4210112430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5082-2940","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417694","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0001-8217-5952"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8217-5952","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1443-0776","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101555050"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":12.5739,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.98934709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"7413","last_page":"7425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"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/T10057","display_name":"Face and Expression Recognition","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.853805422782898},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6544171571731567},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5359511971473694},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5087676644325256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4569334387779236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.407296359539032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35668298602104187},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26153531670570374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853805422782898},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6544171571731567},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5359511971473694},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5087676644325256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4569334387779236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.407296359539032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35668298602104187},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26153531670570374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3367605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3367605","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3118748497","display_name":null,"funder_award_id":"62176203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3416955581","display_name":null,"funder_award_id":"2023A1515011845","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W1971327737","https://openalex.org/W1993962865","https://openalex.org/W2007339694","https://openalex.org/W2085348055","https://openalex.org/W2094934653","https://openalex.org/W2108119513","https://openalex.org/W2134529554","https://openalex.org/W2162316550","https://openalex.org/W2166049352","https://openalex.org/W2171837816","https://openalex.org/W2334512168","https://openalex.org/W2405459681","https://openalex.org/W2494395359","https://openalex.org/W2605146283","https://openalex.org/W2740464254","https://openalex.org/W2740905535","https://openalex.org/W2752197020","https://openalex.org/W2758611985","https://openalex.org/W2769417998","https://openalex.org/W2787885212","https://openalex.org/W2903963428","https://openalex.org/W2906217954","https://openalex.org/W2972477132","https://openalex.org/W2991439739","https://openalex.org/W2997739739","https://openalex.org/W3044063956","https://openalex.org/W3072262295","https://openalex.org/W3089039599","https://openalex.org/W3099920683","https://openalex.org/W3111290000","https://openalex.org/W3117265891","https://openalex.org/W3120740533","https://openalex.org/W3130503331","https://openalex.org/W3138017209","https://openalex.org/W3140110584","https://openalex.org/W3155527329","https://openalex.org/W3181419498","https://openalex.org/W4200226646","https://openalex.org/W4280632002","https://openalex.org/W4283827931","https://openalex.org/W4285230057","https://openalex.org/W4288061794","https://openalex.org/W4300651950","https://openalex.org/W4312646696","https://openalex.org/W4361859495","https://openalex.org/W6675134712","https://openalex.org/W6680012447","https://openalex.org/W6682991666","https://openalex.org/W6725836693","https://openalex.org/W6731811539","https://openalex.org/W6741755011"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Recently,":[0],"multi-view":[1,20,25],"clustering":[2,21,26,43,49,155],"methods":[3,44],"have":[4,13],"been":[5,28],"widely":[6],"used":[7],"in":[8,132,138,157],"handling":[9],"multi-media":[10],"data":[11,36],"and":[12,51,71,115,129],"achieved":[14],"impressive":[15],"performances.":[16],"Among":[17],"the":[18,57,133,148,166,182],"many":[19],"methods,":[22],"anchor":[23,41,60,127,134,141],"graph-based":[24,42],"has":[27],"proven":[29],"to":[30,47,54,74,118,124,153,180],"be":[31,145],"highly":[32],"efficient":[33],"for":[34,92],"large-scale":[35],"processing.":[37],"However,":[38],"most":[39],"existing":[40],"necessitate":[45],"post-processing":[46],"obtain":[48,154],"labels":[50,156],"are":[52],"unable":[53],"effectively":[55],"utilize":[56],"information":[58,184],"within":[59],"graphs.":[61],"To":[62],"address":[63],"this":[64],"issue,":[65],"we":[66,164],"draw":[67],"inspiration":[68],"from":[69],"regression":[70],"feature":[72,120],"selection":[73],"propose":[75],"<underline":[76,80,84,88,93,97,101,105],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77,81,85,89,94,98,102,106,170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>A</b></u>":[78],"nchor":[79],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>G</b></u>":[82],"raph-Based":[83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>F</b></u>":[86],"eature":[87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>S</b></u>":[90],"election":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>O</b></u>":[95],"ne-step":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>M</b></u>":[99],"ulti-":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>V</b></u>":[103],"iew":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>C</b></u>":[107],"lustering":[108],"(AGFS-OMVC).":[109],"Our":[110],"method":[111,204],"combines":[112],"embedding":[113],"learning":[114],"sparse":[116],"constraint":[117],"perform":[119],"selection,":[121],"allowing":[122],"us":[123,152],"remove":[125],"noisy":[126],"points":[128],"redundant":[130],"connections":[131],"graph.":[135],"This":[136],"results":[137,195],"a":[139,158,175],"clean":[140],"graph":[142],"that":[143,201],"can":[144],"projected":[146],"into":[147],"label":[149],"space,":[150],"enabling":[151],"single":[159],"step":[160],"without":[161],"post-processing.":[162],"Lastly,":[163],"employ":[165],"tensor":[167,176],"Schatten":[168],"<inline-formula":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[171],"notation=\"LaTeX\">$p$</tex-math></inline-formula>":[172],"-norm":[173],"as":[174],"rank":[177],"approximation":[178],"function":[179],"capture":[181],"complementary":[183],"between":[185,190],"different":[186],"views,":[187],"ensuring":[188],"similarity":[189],"cluster":[191],"assignment":[192],"matrices.":[193],"Experimental":[194],"on":[196],"five":[197],"real-world":[198],"datasets":[199],"demonstrate":[200],"our":[202],"proposed":[203],"outperforms":[205],"state-of-the-art":[206],"approaches.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-24T08:33:08.758527","created_date":"2025-10-10T00:00:00"}
