{"id":"https://openalex.org/W4401596674","doi":"https://doi.org/10.1109/tnnls.2024.3439545","title":"Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders","display_name":"Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders","publication_year":2024,"publication_date":"2024-08-14","ids":{"openalex":"https://openalex.org/W4401596674","doi":"https://doi.org/10.1109/tnnls.2024.3439545","pmid":"https://pubmed.ncbi.nlm.nih.gov/39141461"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3439545","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3439545","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tnnls.2024.3439545","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046396291","display_name":"Hongmin Cai","orcid":"https://orcid.org/0000-0002-2747-7234"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Cai","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2747-7234","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089101157","display_name":"Fei Qi","orcid":"https://orcid.org/0000-0001-7128-7764"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Qi","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7128-7764","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680717","display_name":"Junyu Li","orcid":"https://orcid.org/0000-0002-2472-8958"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Li","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2472-8958","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046443766","display_name":"Yu Hu","orcid":"https://orcid.org/0000-0001-8006-7659"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8006-7659","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380066","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3514-5413"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["School of Medical Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3514-5413","affiliations":[{"raw_affiliation_string":"School of Medical Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027675259","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-5435-7871"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5435-7871","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, SAR, China","Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7629-4648","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71153003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":"5","first_page":"8699","last_page":"8713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9531999826431274,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9531999826431274,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affinities","display_name":"Affinities","score":0.9089369773864746},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7307847142219543},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6233067512512207},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5484087467193604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3574579954147339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32862937450408936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2277509868144989},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.19518285989761353},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.1836046278476715},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10888969898223877},{"id":"https://openalex.org/keywords/stereochemistry","display_name":"Stereochemistry","score":0.07593715190887451}],"concepts":[{"id":"https://openalex.org/C2780283098","wikidata":"https://www.wikidata.org/wiki/Q4688960","display_name":"Affinities","level":2,"score":0.9089369773864746},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7307847142219543},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6233067512512207},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5484087467193604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3574579954147339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32862937450408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2277509868144989},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.19518285989761353},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.1836046278476715},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10888969898223877},{"id":"https://openalex.org/C71240020","wikidata":"https://www.wikidata.org/wiki/Q186011","display_name":"Stereochemistry","level":1,"score":0.07593715190887451}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3439545","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3439545","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39141461","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39141461","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tnnls.2024.3439545","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3439545","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G357971821","display_name":null,"funder_award_id":"62325204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3929862760","display_name":null,"funder_award_id":"U21A20520","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8649144982","display_name":null,"funder_award_id":"62172112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G943449154","display_name":null,"funder_award_id":"2022YFE0112200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1944315015","https://openalex.org/W1979089718","https://openalex.org/W2011058684","https://openalex.org/W2100051950","https://openalex.org/W2121947440","https://openalex.org/W2158579916","https://openalex.org/W2165533158","https://openalex.org/W2170057991","https://openalex.org/W2210591728","https://openalex.org/W2753032179","https://openalex.org/W2786092739","https://openalex.org/W2795380834","https://openalex.org/W2804847616","https://openalex.org/W2807746743","https://openalex.org/W2811487611","https://openalex.org/W2888654602","https://openalex.org/W2937917790","https://openalex.org/W2943949419","https://openalex.org/W2947617922","https://openalex.org/W2954752948","https://openalex.org/W2964030120","https://openalex.org/W2996027253","https://openalex.org/W3008739840","https://openalex.org/W3023700315","https://openalex.org/W3037299379","https://openalex.org/W3088663932","https://openalex.org/W3094590900","https://openalex.org/W3177174095","https://openalex.org/W4213019810","https://openalex.org/W4284965547","https://openalex.org/W4309364896","https://openalex.org/W4317038430","https://openalex.org/W4322706755","https://openalex.org/W4327521941","https://openalex.org/W4362683498","https://openalex.org/W6682991666","https://openalex.org/W6746012787"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4241081643","https://openalex.org/W1974414168","https://openalex.org/W1971291106","https://openalex.org/W1996889227","https://openalex.org/W2924053807","https://openalex.org/W2769641421","https://openalex.org/W2120642597","https://openalex.org/W2337206335","https://openalex.org/W2484487206"],"abstract_inverted_index":{"Traditional":[0],"clustering":[1,38,89,94,105,146],"methods":[2],"rely":[3],"on":[4,115],"pairwise":[5,26],"affinity":[6],"to":[7,29,36,49,58],"divide":[8],"samples":[9],"into":[10],"different":[11,68,141],"subgroups.":[12],"However,":[13],"high-dimensional":[14,151],"small-sample":[15],"(HDLSS)":[16],"data":[17,135],"are":[18,126],"affected":[19],"by":[20,71,106],"the":[21,43,60,107],"concentration":[22,61],"effects,":[23],"rendering":[24],"traditional":[25],"metrics":[27],"unable":[28],"accurately":[30],"describe":[31],"relationships":[32,53,132],"between":[33,67],"samples,":[34],"leading":[35],"suboptimal":[37],"results.":[39],"This":[40],"article":[41],"advances":[42],"proposition":[44],"of":[45,110,140],"employing":[46],"high-order":[47,75,124],"affinities":[48,70,125,143],"characterize":[50],"multiple":[51],"sample":[52,131],"as":[54],"a":[55,65,79,87,100],"strategic":[56],"means":[57],"circumnavigate":[59],"effects.":[62],"We":[63],"establish":[64],"nexus":[66],"order":[69,142],"constructing":[72],"specialized":[73],"decomposable":[74],"affinities,":[76],"thereby":[77],"formulating":[78],"uniform":[80,92],"mathematical":[81],"framework.":[82],"Building":[83],"upon":[84],"this":[85],"insight,":[86],"novel":[88],"method":[90],"named":[91],"tensor":[93],"(UTC)":[95],"is":[96],"proposed,":[97],"which":[98],"learns":[99],"consensus":[101],"low-dimensional":[102],"embedding":[103],"for":[104,129],"synergistic":[108],"exploitation":[109],"multiple-order":[111],"affinities.":[112],"Extensive":[113],"experiments":[114],"synthetic":[116],"and":[117,136],"real-world":[118],"datasets":[119],"demonstrate":[120],"two":[121],"findings:":[122],"1)":[123],"better":[127],"suited":[128],"characterizing":[130],"in":[133,149],"complex":[134],"2)":[137],"reasonable":[138],"use":[139],"can":[144],"enhance":[145],"effectiveness,":[147],"especially":[148],"handling":[150],"data.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
