{"id":"https://openalex.org/W2946808855","doi":"https://doi.org/10.1109/access.2019.2904887","title":"Efficient Multiple Kernel k-Means Clustering With Late Fusion","display_name":"Efficient Multiple Kernel k-Means Clustering With Late Fusion","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946808855","doi":"https://doi.org/10.1109/access.2019.2904887","mag":"2946808855"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2904887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673554.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673554.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-9517-262X","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036028581","display_name":"Jingtao Hu","orcid":"https://orcid.org/0000-0003-0836-2973"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtao Hu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461526","display_name":"Miaomiao Li","orcid":"https://orcid.org/0000-0001-7678-687X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Li","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021720283","display_name":"Kaikai Zhao","orcid":"https://orcid.org/0000-0002-6362-1352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaikai Zhao","raw_affiliation_strings":["Institute of Information Fusion, Naval Aviation University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044196870","display_name":"Ning Hu","orcid":"https://orcid.org/0000-0002-8355-0969"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Hu","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3895,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.85074942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"61109","last_page":"61120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"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":0.606942892074585},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5614959001541138},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5134109258651733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3991255462169647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3604127764701843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3161807954311371},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15438368916511536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606942892074585},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5614959001541138},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5134109258651733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3991255462169647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3604127764701843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3161807954311371},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15438368916511536}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2904887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673554.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e07a78d700884a6aa58bcc34f7caef10","is_oa":true,"landing_page_url":"https://doaj.org/article/e07a78d700884a6aa58bcc34f7caef10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 61109-61120 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2904887","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904887","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08673554.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2449171418","display_name":null,"funder_award_id":"2018YFB1003203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6643592684","display_name":null,"funder_award_id":"61773392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G700737026","display_name":null,"funder_award_id":"61672528","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946808855.pdf","grobid_xml":"https://content.openalex.org/works/W2946808855.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1520757484","https://openalex.org/W1920328734","https://openalex.org/W1935207225","https://openalex.org/W1969795324","https://openalex.org/W1974368122","https://openalex.org/W1989085630","https://openalex.org/W1991311318","https://openalex.org/W1999693420","https://openalex.org/W2019885956","https://openalex.org/W2035979693","https://openalex.org/W2081549451","https://openalex.org/W2093279820","https://openalex.org/W2095692770","https://openalex.org/W2109743529","https://openalex.org/W2132205911","https://openalex.org/W2135957668","https://openalex.org/W2140095548","https://openalex.org/W2154415691","https://openalex.org/W2163463863","https://openalex.org/W2171855237","https://openalex.org/W2528144785","https://openalex.org/W2549514397","https://openalex.org/W2553647727","https://openalex.org/W2575920881","https://openalex.org/W2963899855","https://openalex.org/W6631064309","https://openalex.org/W6640308425","https://openalex.org/W6682991666","https://openalex.org/W6727872839","https://openalex.org/W6731814672"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,67],"recently":[1],"proposed":[2,68,91],"multiple-kernel":[3],"clustering":[4,39,74,80,113],"algorithms":[5,53,69,92,108],"have":[6],"demonstrated":[7,99],"promising":[8],"performance":[9,114],"in":[10,130],"various":[11,73],"applications.":[12],"However,":[13],"most":[14],"of":[15,65,89,126],"the":[16,63,72,77,86,90,101,124,127],"existing":[17],"methods":[18],"suffer":[19],"from":[20],"high":[21],"computational":[22,58,87],"complexity":[23],"and":[24,93],"intensive":[25],"time":[26,120],"cost.":[27],"To":[28],"address":[29],"this":[30],"issue,":[31],"we":[32,47,84],"propose":[33],"to":[34,115],"fulfill":[35],"multiple":[36,50,131],"kernel":[37,51,132],"k-means":[38,52],"via":[40],"a":[41],"late":[42,55,128],"fusion":[43,129],"manner.":[44],"In":[45],"specific,":[46],"design":[48],"two":[49],"with":[54,62,118],"fusion,":[56],"whose":[57],"complexities":[59,88],"linearly":[60],"grow":[61],"number":[64],"samples.":[66],"integrally":[70],"optimize":[71],"matrices":[75],"into":[76],"optimal":[78],"consensus":[79],"results":[81],"iteratively.":[82],"Furthermore,":[83],"analyze":[85],"theoretically":[94],"prove":[95],"their":[96],"convergence.":[97],"As":[98],"by":[100],"experiments":[102],"on":[103],"six":[104],"benchmark":[105],"datasets,":[106],"our":[107],"achieve":[109],"comparable":[110],"or":[111],"better":[112],"state-of-the-art":[116],"ones":[117],"less":[119],"cost,":[121],"which":[122],"demonstrates":[123],"advantages":[125],"k-means.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
