{"id":"https://openalex.org/W1984671294","doi":"https://doi.org/10.1109/tcyb.2014.2317514","title":"Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering","display_name":"Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering","publication_year":2014,"publication_date":"2014-06-26","ids":{"openalex":"https://openalex.org/W1984671294","doi":"https://doi.org/10.1109/tcyb.2014.2317514","mag":"1984671294","pmid":"https://pubmed.ncbi.nlm.nih.gov/24988598"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2014.2317514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2317514","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing-Kun Bao","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039322394","display_name":"Weiqing Min","orcid":"https://orcid.org/0000-0001-6668-9208"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Min","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416750","display_name":"Teng Li","orcid":"https://orcid.org/0000-0003-0111-0108"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Li","raw_affiliation_strings":["College of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007962086"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82313509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"45","issue":"1","first_page":"15","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9937999844551086,"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":0.9930999875068665,"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":0.7262089252471924},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6132225394248962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630556344985962},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5486217737197876},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.5468071699142456},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5151492357254028},{"id":"https://openalex.org/keywords/weak-consistency","display_name":"Weak consistency","score":0.4288843274116516},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.42110562324523926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4193562865257263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33070629835128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3256903886795044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32473793625831604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17700731754302979},{"id":"https://openalex.org/keywords/strong-consistency","display_name":"Strong consistency","score":0.1737235188484192},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.08647510409355164},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.07002779841423035}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7262089252471924},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6132225394248962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630556344985962},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5486217737197876},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.5468071699142456},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5151492357254028},{"id":"https://openalex.org/C122377713","wikidata":"https://www.wikidata.org/wiki/Q4422799","display_name":"Weak consistency","level":4,"score":0.4288843274116516},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.42110562324523926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4193562865257263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33070629835128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3256903886795044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32473793625831604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17700731754302979},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.1737235188484192},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.08647510409355164},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.07002779841423035},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2014.2317514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2317514","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:24988598","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24988598","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G238906871","display_name":null,"funder_award_id":"2013T60196","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2489649360","display_name":null,"funder_award_id":"2012CB316304","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5771837786","display_name":null,"funder_award_id":"61300056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8098110782","display_name":null,"funder_award_id":"61201374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8808433239","display_name":null,"funder_award_id":"61225009","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"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":43,"referenced_works":["https://openalex.org/W37503237","https://openalex.org/W77787017","https://openalex.org/W196542726","https://openalex.org/W250062009","https://openalex.org/W1480376833","https://openalex.org/W1485732691","https://openalex.org/W1595656981","https://openalex.org/W1929593512","https://openalex.org/W1966957716","https://openalex.org/W1972785905","https://openalex.org/W1976171151","https://openalex.org/W1998894210","https://openalex.org/W2000608828","https://openalex.org/W2013029404","https://openalex.org/W2022146075","https://openalex.org/W2043545458","https://openalex.org/W2056515624","https://openalex.org/W2060314721","https://openalex.org/W2097308346","https://openalex.org/W2107887685","https://openalex.org/W2108282816","https://openalex.org/W2117848638","https://openalex.org/W2118036225","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2133576408","https://openalex.org/W2136897707","https://openalex.org/W2138072998","https://openalex.org/W2154455818","https://openalex.org/W2169732613","https://openalex.org/W2425056032","https://openalex.org/W2434205482","https://openalex.org/W4241834390","https://openalex.org/W4255387915","https://openalex.org/W4285719527","https://openalex.org/W6603134736","https://openalex.org/W6635854424","https://openalex.org/W6640454944","https://openalex.org/W6641834929","https://openalex.org/W6676060660","https://openalex.org/W6676180653","https://openalex.org/W6678914141","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W3010022189","https://openalex.org/W1965377399","https://openalex.org/W1564991550","https://openalex.org/W1510768092","https://openalex.org/W2098650100","https://openalex.org/W2611003898","https://openalex.org/W1592998112","https://openalex.org/W4243135923","https://openalex.org/W2115871986","https://openalex.org/W52378903"],"abstract_inverted_index":{"Co-clustering":[0],"has":[1,139],"recently":[2],"received":[3],"a":[4,69,81,97,167,184,209],"lot":[5],"of":[6,26,68,113,225],"attention":[7],"due":[8],"to":[9,58,108,199],"its":[10,75],"effectiveness":[11,224],"in":[12],"simultaneously":[13],"partitioning":[14],"words":[15],"and":[16,38,48,54,105,118,126,132,161,170,178],"documents":[17],"by":[18,149,166,183,208],"exploiting":[19],"the":[20,27,36,46,66,88,114,124,140,144,155,172,189,223,226],"relationships":[21,146,163,180],"between":[22,116],"them.":[23],"However,":[24],"most":[25],"existing":[28],"co-clustering":[29,99,102,152,228],"methods":[30],"neglect":[31],"or":[32],"only":[33,110],"partially":[34],"reveal":[35],"interword":[37,160,177],"interdocument":[39,162,179],"relationships.":[40],"To":[41],"fully":[42],"utilize":[43],"those":[44],"relationships,":[45],"local":[47,104,125,156,168],"global":[49,78,106,127,173,185],"consistencies":[50],"on":[51,84,129,158,175,217],"both":[52,130,159,176],"word":[53,117,131],"document":[55,133,220],"spaces":[56],"need":[57],"be":[59,72],"considered,":[60],"respectively.":[61,135],"Local":[62],"consistency":[63,79,128,157,174],"indicates":[64],"that":[65],"label":[67],"word/document":[70],"can":[71],"predicted":[73],"from":[74,192],"neighbors,":[76],"while":[77],"enforces":[80],"smoothness":[82,186],"constraint":[83],"words/documents":[85],"labels":[86],"over":[87],"whole":[89],"data":[90],"manifold.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95],"propose":[96],"novel":[98],"method,":[100],"called":[101],"via":[103],"consistency,":[107],"not":[109],"make":[111],"use":[112],"relationship":[115],"document,":[119],"but":[120],"also":[121],"jointly":[122],"explore":[123],"spaces,":[134],"The":[136,214],"proposed":[137,227],"method":[138],"following":[141,150],"characteristics:":[142],"1)":[143],"word-document":[145],"is":[147,164,181,205],"modeled":[148],"information-theoretic":[151],"(ITCC);":[153],"2)":[154],"revealed":[165],"predictor;":[169],"3)":[171],"explored":[182],"regularization.":[187],"All":[188],"fitting":[190],"errors":[191],"these":[193],"three-folds":[194],"are":[195],"finally":[196],"integrated":[197],"together":[198],"formulate":[200],"an":[201],"objective":[202],"function,":[203],"which":[204],"iteratively":[206],"optimized":[207],"convergence":[210],"provable":[211],"updating":[212],"procedure.":[213],"extensive":[215],"experiments":[216],"two":[218],"benchmark":[219],"datasets":[221],"validate":[222],"method.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
