{"id":"https://openalex.org/W4319302580","doi":"https://doi.org/10.1109/tkde.2023.3242306","title":"Imbalanced Clustering With Theoretical Learning Bounds","display_name":"Imbalanced Clustering With Theoretical Learning Bounds","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319302580","doi":"https://doi.org/10.1109/tkde.2023.3242306"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3242306","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5071297114","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-5369-6801"},"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":"Jing Zhang","raw_affiliation_strings":["College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010022982","display_name":"Hong Tao","orcid":"https://orcid.org/0000-0002-0924-5683"},"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":"Hong Tao","raw_affiliation_strings":["College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091529433","display_name":"Chenping Hou","orcid":"https://orcid.org/0000-0002-9335-0469"},"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":"Chenping Hou","raw_affiliation_strings":["College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.705,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.606989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":84},"biblio":{"volume":"35","issue":"9","first_page":"9598","last_page":"9612"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9887,"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":0.9885,"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/conceptual-clustering","display_name":"Conceptual clustering","score":0.41285285}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9256438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67888665},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5025935},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48713443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46830356},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.43918964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4361841},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.41285285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103577},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.36599913},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3242306","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61922087"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62006238"},{"funder":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China","award_id":"2022ZD0114803"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W101045393","https://openalex.org/W1128809682","https://openalex.org/W1997527287","https://openalex.org/W2066435331","https://openalex.org/W2071703875","https://openalex.org/W2073459066","https://openalex.org/W2113540758","https://openalex.org/W2118978333","https://openalex.org/W2121947440","https://openalex.org/W2125070513","https://openalex.org/W2129546202","https://openalex.org/W2131049870","https://openalex.org/W2137216203","https://openalex.org/W2141012957","https://openalex.org/W2142766915","https://openalex.org/W2159091719","https://openalex.org/W2165182095","https://openalex.org/W2165835468","https://openalex.org/W2171098181","https://openalex.org/W2299467264","https://openalex.org/W2338231020","https://openalex.org/W2338318698","https://openalex.org/W2551643663","https://openalex.org/W2579923771","https://openalex.org/W2739715168","https://openalex.org/W2741943936","https://openalex.org/W2758535392","https://openalex.org/W2884755130","https://openalex.org/W2891893703","https://openalex.org/W2905371339","https://openalex.org/W2916035981","https://openalex.org/W2936503027","https://openalex.org/W2947617922","https://openalex.org/W2964074409","https://openalex.org/W2970759086","https://openalex.org/W2970941190","https://openalex.org/W2971828597","https://openalex.org/W2989219518","https://openalex.org/W2998320241","https://openalex.org/W3010086510","https://openalex.org/W3170983709","https://openalex.org/W3173073170"],"related_works":["https://openalex.org/W4386963946","https://openalex.org/W3168768270","https://openalex.org/W3161536855","https://openalex.org/W3092518267","https://openalex.org/W3020292803","https://openalex.org/W2992612242","https://openalex.org/W2525029050","https://openalex.org/W2280013922","https://openalex.org/W2148729931","https://openalex.org/W2107260502"],"abstract_inverted_index":{"Imbalanced":[0,108],"clustering,":[1],"where":[2],"the":[3,58,117,121,129,150],"number":[4],"of":[5,137,152],"samples":[6],"varies":[7],"in":[8,154],"different":[9],"clusters,":[10],"has":[11,20],"arisen":[12],"from":[13],"many":[14,146],"real":[15],"data":[16],"mining":[17],"applications.":[18],"It":[19,115],"gained":[21],"increasing":[22],"attention.":[23],"Nevertheless,":[24],"due":[25],"to":[26],"its":[27,36,90],"unsupervised":[28],"nature,":[29],"imbalanced":[30,40,44,80,147,157],"clustering":[31,45,81,92,131],"is":[32,139],"more":[33],"challenging":[34],"than":[35],"supervised":[37],"counterpart,":[38],"i.e.,":[39],"classification.":[41],"Furthermore,":[42],"existing":[43],"methods":[46],"are":[47],"empirically":[48],"designed":[49],"and":[50,119],"they":[51],"often":[52],"lack":[53],"solid":[54],"theoretical":[55,99],"guarantees,":[56],"e.g.,":[57],"excess":[59,91,130],"risk":[60,93,132],"estimation.":[61],"To":[62],"solve":[63],"these":[64],"important":[65],"but":[66],"rarely":[67],"studied":[68],"problems,":[69],"we":[70,101],"first":[71],"propose":[72,103],"a":[73],"novel":[74],"$k$":[76],"-Means":[77],"algorithm":[78,106],"for":[79,141],"problem":[82],"with":[83,89,110],"Adaptive":[84],"Cluster":[85],"Weight":[86],"(MACW),":[87],"together":[88],"bound":[94],"analysis.":[95],"Inspired":[96],"by":[97,127],"this":[98],"result,":[100],"further":[102],"an":[104],"improved":[105],"called":[107],"Clustering":[109],"Theoretical":[111],"Learning":[112],"Bounds":[113],"(ICTLB).":[114],"refines":[116],"weights":[118,126],"encourages":[120],"optimal":[122],"trade-off":[123],"among":[124],"per-cluster":[125],"optimizing":[128],"bound.":[133],"A":[134],"theoretically-principled":[135],"justification":[136],"ICTLB":[138,153],"provided":[140],"verification.":[142],"Comprehensive":[143],"experiments":[144],"on":[145],"datasets":[148],"verify":[149],"effectiveness":[151],"solving":[155],"cluster":[156],"problems.":[158]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4319302580","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-29T04:11:18.190792","created_date":"2023-02-07"}