{"id":"https://openalex.org/W4383877977","doi":"https://doi.org/10.1007/s10044-023-01183-7","title":"Multiple kernel k-means clustering with block diagonal property","display_name":"Multiple kernel k-means clustering with block diagonal property","publication_year":2023,"publication_date":"2023-07-11","ids":{"openalex":"https://openalex.org/W4383877977","doi":"https://doi.org/10.1007/s10044-023-01183-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-023-01183-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-023-01183-7","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","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/A5015649610","display_name":"Cuiling Chen","orcid":"https://orcid.org/0000-0003-1839-6624"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuiling Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757845","display_name":"Wei Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wei","raw_affiliation_strings":["Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382339","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0003-1861-6842"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["School of Computer Science and Engineering, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guangxi Normal University, 15 Yucai Road, Guilin, 541004, Guangxi, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015649610"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.3665,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5911787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"26","issue":"3","first_page":"1515","last_page":"1526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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":0.9970999956130981,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9882000088691711,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7141534686088562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6698245406150818},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.6618705987930298},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.6021065711975098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5626254677772522},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5097195506095886},{"id":"https://openalex.org/keywords/string-kernel","display_name":"String kernel","score":0.4928012192249298},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4475124180316925},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.44253861904144287},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.44087499380111694},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.43181535601615906},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.42922142148017883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4177921712398529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3739926218986511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3515264689922333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32741665840148926},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11892685294151306},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07261309027671814},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.06812378764152527}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7141534686088562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6698245406150818},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.6618705987930298},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.6021065711975098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5626254677772522},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5097195506095886},{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.4928012192249298},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4475124180316925},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.44253861904144287},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.44087499380111694},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.43181535601615906},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.42922142148017883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4177921712398529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3739926218986511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3515264689922333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32741665840148926},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11892685294151306},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07261309027671814},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.06812378764152527},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-023-01183-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-023-01183-7","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3093153723","display_name":null,"funder_award_id":"MIMS22-03","funder_id":"https://openalex.org/F4320336248","funder_display_name":"Guangxi Key Laboratory of Multi-Source Information Mining and Security"},{"id":"https://openalex.org/G431611993","display_name":null,"funder_award_id":"61862009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6601313454","display_name":null,"funder_award_id":"MIMS21-M-01","funder_id":"https://openalex.org/F4320336248","funder_display_name":"Guangxi Key Laboratory of Multi-Source Information Mining and Security"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336248","display_name":"Guangxi Key Laboratory of Multi-Source Information Mining and Security","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1979089718","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2002329661","https://openalex.org/W2081549451","https://openalex.org/W2125687218","https://openalex.org/W2140095548","https://openalex.org/W2569859441","https://openalex.org/W2604114154","https://openalex.org/W2808201035","https://openalex.org/W2896169497","https://openalex.org/W2953072908","https://openalex.org/W2954752948","https://openalex.org/W2963165461","https://openalex.org/W2964169082","https://openalex.org/W2972882412","https://openalex.org/W3025752507","https://openalex.org/W3091192503","https://openalex.org/W3168468320","https://openalex.org/W3190216563","https://openalex.org/W4214536771","https://openalex.org/W4224930898","https://openalex.org/W4292157310","https://openalex.org/W4323664883"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W3100948281","https://openalex.org/W4291669689","https://openalex.org/W1983263273","https://openalex.org/W2071590642","https://openalex.org/W2130792056","https://openalex.org/W1836142315","https://openalex.org/W4294351650","https://openalex.org/W1590832708","https://openalex.org/W2005311689"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
