{"id":"https://openalex.org/W4321445872","doi":"https://doi.org/10.3233/jifs-223854","title":"Collaborative possibilistic fuzzy clustering based on information bottleneck","display_name":"Collaborative possibilistic fuzzy clustering based on information bottleneck","publication_year":2023,"publication_date":"2023-02-18","ids":{"openalex":"https://openalex.org/W4321445872","doi":"https://doi.org/10.3233/jifs-223854"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-223854","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-223854","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs223854?id=journal-of-intelligent-and-fuzzy-systems%2Fifs223854","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs223854?id=journal-of-intelligent-and-fuzzy-systems%2Fifs223854","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100754595","display_name":"Duan Chen","orcid":"https://orcid.org/0000-0002-1781-9122"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Duan","raw_affiliation_strings":["Henan Polytechnic University","School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Polytechnic University","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101746424","display_name":"Yongli Liu","orcid":"https://orcid.org/0000-0002-0540-865X"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Liu","raw_affiliation_strings":["Henan Polytechnic University","School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Polytechnic University","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100754595"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01282543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"5","first_page":"8091","last_page":"8102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9988999962806702,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9988999962806702,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8431143760681152},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7725311517715454},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6963300704956055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6490563154220581},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6478667259216309},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.591862142086029},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.5439767837524414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538212239742279},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5318118333816528},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4772736430168152},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.45879432559013367},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4517658054828644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4492272138595581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42657023668289185},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42487892508506775},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4232315123081207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4199764132499695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3866675794124603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0995866060256958}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8431143760681152},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7725311517715454},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6963300704956055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6490563154220581},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6478667259216309},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.591862142086029},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.5439767837524414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538212239742279},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5318118333816528},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4772736430168152},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.45879432559013367},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4517658054828644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4492272138595581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42657023668289185},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42487892508506775},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4232315123081207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4199764132499695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3866675794124603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0995866060256958},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-223854","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-223854","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs223854?id=journal-of-intelligent-and-fuzzy-systems%2Fifs223854","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/jifs-223854","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-223854","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs223854?id=journal-of-intelligent-and-fuzzy-systems%2Fifs223854","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321445872.pdf","grobid_xml":"https://content.openalex.org/works/W4321445872.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1793466594","https://openalex.org/W1973892392","https://openalex.org/W2030846306","https://openalex.org/W2120688485","https://openalex.org/W2132512523","https://openalex.org/W2139672812","https://openalex.org/W2167428023","https://openalex.org/W2414242250","https://openalex.org/W2563061335","https://openalex.org/W2568618480","https://openalex.org/W2611453196","https://openalex.org/W2756973318","https://openalex.org/W2775545376","https://openalex.org/W2789543566","https://openalex.org/W2904297393","https://openalex.org/W2920873876","https://openalex.org/W2947121503","https://openalex.org/W2950480201","https://openalex.org/W2963343988","https://openalex.org/W3007863152","https://openalex.org/W3023577666","https://openalex.org/W3025178636","https://openalex.org/W3110428060","https://openalex.org/W3136837099","https://openalex.org/W3166541553","https://openalex.org/W3181833190","https://openalex.org/W3182328144","https://openalex.org/W3183134305","https://openalex.org/W3195814051","https://openalex.org/W3199689756","https://openalex.org/W4225121862","https://openalex.org/W4281635760"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2181939267","https://openalex.org/W3168768270","https://openalex.org/W2165695836","https://openalex.org/W3071522575","https://openalex.org/W2374506950","https://openalex.org/W2491448268","https://openalex.org/W2970954390","https://openalex.org/W2036503911","https://openalex.org/W2047852079"],"abstract_inverted_index":{"In":[0],"fuzzy":[1,6,59,127],"clustering":[2,7,45,60,113,128,164,193],"algorithms,":[3],"the":[4,17,23,53,74,77,81,89,112,116,119,125,142,152,163,183,187],"possibilistic":[5,58,126],"algorithm":[8,61,72,185],"has":[9],"been":[10],"widely":[11],"used":[12],"in":[13,28,68,190],"many":[14],"fields.":[15],"However,":[16],"traditional":[18],"Euclidean":[19,94],"distance":[20],"cannot":[21],"measure":[22,91],"similarity":[24,90,108],"between":[25,37,43,154],"samples":[26],"well":[27],"high-dimensional":[29],"data.":[30],"Moreover,":[31],"if":[32],"there":[33],"is":[34,66,97,122],"an":[35,136],"overlap":[36],"clusters":[38],"or":[39],"a":[40,56],"strong":[41],"correlation":[42,153],"features,":[44],"accuracy":[46,194],"will":[47],"be":[48],"easily":[49],"affected.":[50],"To":[51,161],"overcome":[52],"above":[54],"problems,":[55],"collaborative":[57,120,159,196],"based":[62,129,146],"on":[63,80,115,130,147,176],"information":[64,86,131],"bottleneck":[65],"proposed":[67,184],"this":[69,167],"paper.":[70],"This":[71],"retains":[73],"advantages":[75],"of":[76,93,107,141,151,166,192],"original":[78],"algorithm,":[79,168],"one":[82],"hand,":[83,118],"using":[84],"mutual":[85],"loss":[87],"as":[88],"instead":[92],"distance,":[95],"which":[96,133],"conducive":[98],"to":[99],"reducing":[100],"subjective":[101],"errors":[102],"caused":[103],"by":[104],"arbitrary":[105],"choices":[106],"measures":[109],"and":[110,138,195],"improving":[111],"accuracy;":[114],"other":[117],"idea":[121],"introduced":[123],"into":[124],"bottleneck,":[132],"can":[134],"form":[135],"accurate":[137],"complete":[139],"representation":[140],"data":[143],"organization":[144],"structure":[145],"make":[148],"full":[149],"use":[150],"different":[155],"feature":[156],"subsets":[157],"for":[158,173],"clustering.":[160],"examine":[162],"performance":[165],"five":[169],"algorithms":[170,189],"were":[171],"selected":[172],"comparison":[174,188],"experiments":[175],"several":[177],"datasets.":[178],"Experimental":[179],"results":[180],"show":[181],"that":[182],"outperforms":[186],"terms":[191],"validity.":[197]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
