{"id":"https://openalex.org/W4361221428","doi":"https://doi.org/10.3233/jifs-224214","title":"Research on variable weight CLIQUE clustering algorithm based on partial order set","display_name":"Research on variable weight CLIQUE clustering algorithm based on partial order set","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361221428","doi":"https://doi.org/10.3233/jifs-224214"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224214","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224214","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114088617","display_name":"Maojun Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maojun Cao","raw_affiliation_strings":["Liaoning Technical University","Business Administration Department, Liaoning Technical University, Huludao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Technical University","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"Business Administration Department, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001818134","display_name":"Yingda Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingda Hu","raw_affiliation_strings":["Liaoning Technical University","Business Administration Department, Liaoning Technical University, Huludao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Technical University","institution_ids":["https://openalex.org/I176808543"]},{"raw_affiliation_string":"Business Administration Department, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086923849","display_name":"Lizhu Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I3132008074","display_name":"Huangshan University","ror":"https://ror.org/05akhmy90","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132008074"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhu Yue","raw_affiliation_strings":["Huangshan University","Economics and Management Department, Huangshan University, Huangshan, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huangshan University","institution_ids":["https://openalex.org/I3132008074"]},{"raw_affiliation_string":"Economics and Management Department, Huangshan University, Huangshan, Anhui, China","institution_ids":["https://openalex.org/I3132008074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001818134"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":null,"apc_paid":null,"fwci":1.0176,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77664975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"44","issue":"6","first_page":"9461","last_page":"9473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13297","display_name":"History and advancements in chemistry","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1606","display_name":"Physical and Theoretical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13297","display_name":"History and advancements in chemistry","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1606","display_name":"Physical and Theoretical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9769999980926514,"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":0.6875572204589844},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.6739714741706848},{"id":"https://openalex.org/keywords/weight-function","display_name":"Weight function","score":0.6616504788398743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5611384510993958},{"id":"https://openalex.org/keywords/clique-percolation-method","display_name":"Clique percolation method","score":0.5028917193412781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42357420921325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37193673849105835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34997695684432983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3312758505344391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27365192770957947},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19047552347183228},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10169240832328796}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6875572204589844},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.6739714741706848},{"id":"https://openalex.org/C134466208","wikidata":"https://www.wikidata.org/wiki/Q1520657","display_name":"Weight function","level":2,"score":0.6616504788398743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5611384510993958},{"id":"https://openalex.org/C128243737","wikidata":"https://www.wikidata.org/wiki/Q5134414","display_name":"Clique percolation method","level":3,"score":0.5028917193412781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42357420921325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37193673849105835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34997695684432983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3312758505344391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27365192770957947},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19047552347183228},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10169240832328796}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224214","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224214","pdf_url":null,"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":null,"license_id":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2028378644","https://openalex.org/W2047866469","https://openalex.org/W2079361215","https://openalex.org/W2106811754","https://openalex.org/W2130437962","https://openalex.org/W2287793429","https://openalex.org/W2618706187","https://openalex.org/W2769277501","https://openalex.org/W2783536156","https://openalex.org/W2912456704","https://openalex.org/W2982978527","https://openalex.org/W4205529794","https://openalex.org/W6770047394"],"related_works":["https://openalex.org/W3210173267","https://openalex.org/W2015153882","https://openalex.org/W3019715743","https://openalex.org/W2359028163","https://openalex.org/W2277582367","https://openalex.org/W2991928513","https://openalex.org/W2118364008","https://openalex.org/W1591506822","https://openalex.org/W2555062824","https://openalex.org/W2211760951"],"abstract_inverted_index":{"The":[0],"uncertainty":[1],"of":[2,27,43,68,117,120,135,145,182,192,201,211,230],"weight":[3,6,26,55,59,66,78,129,163,175,184],"makes":[4],"the":[5,14,17,25,41,58,65,75,82,92,106,115,122,127,132,136,146,150,169,173,180,190,196,199,209,212,221],"density":[7],"between":[8],"samples":[9],"not":[10,23,52],"fixed.":[11],"Aiming":[12],"at":[13],"problem":[15],"that":[16,144],"existing":[18],"CLIQUE":[19,94,110,138,231],"clustering":[20,133,151,193,232],"algorithm":[21,95,170],"does":[22,51],"consider":[24],"object":[28,69],"features,":[29],"which":[30],"leads":[31],"to":[32,81,85,98,101,188],"low":[33],"accuracy,":[34],"an":[35,226],"improved":[36],"weighted":[37,87,102,109,137],"method":[38,50,161,229],"combined":[39],"with":[40,89],"thought":[42],"posets":[44],"is":[45,71,79,96,112,140,165,177,185,225],"proposed.":[46],"In":[47,159],"addition,":[48],"this":[49,160],"need":[53],"accurate":[54],"assignment,":[56],"only":[57,172],"order":[60,67,77,108,176],"can":[61,203,219],"run":[62],"efficiently.":[63],"First,":[64],"features":[70],"obtained,":[72,178],"and":[73,104,149,153,179,208],"then":[74],"partial":[76,107],"applied":[80],"original":[83],"data":[84,88],"obtain":[86],"weights.":[90],"Then":[91],"traditional":[93],"used":[97],"cluster":[99],"according":[100],"data,":[103,121],"finally":[105],"model":[111,139],"obtained.":[113],"Through":[114],"experiment":[116],"six":[118],"groups":[119],"results":[123],"show":[124,220],"that:":[125],"under":[126],"given":[128],"sequence":[130],"constraints,":[131],"quality":[134],"significantly":[141,157],"higher":[142],"than":[143],"unweighted":[147],"model,":[148,162],"accuracy":[152],"other":[154],"aspects":[155],"are":[156],"improved.":[158],"information":[164],"effectively":[166,204],"integrated":[167],"into":[168],"when":[171],"feature":[174,183],"function":[181],"fully":[186],"played":[187],"enhance":[189],"robustness":[191],"results.":[194],"At":[195],"same":[197],"time,":[198],"idea":[200],"poset":[202],"integrate":[205],"expert":[206],"information,":[207],"representation":[210],"nearest":[213],"neighbor":[214],"elements":[215],"in":[216],"Hasse":[217],"graph":[218],"effect":[222],"intuitively.":[223],"It":[224],"effective":[227],"improvement":[228],"algorithm.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
