{"id":"https://openalex.org/W4399049450","doi":"https://doi.org/10.1007/s11063-024-11618-9","title":"A Point-Cluster-Partition Architecture for Weighted Clustering Ensemble","display_name":"A Point-Cluster-Partition Architecture for Weighted Clustering Ensemble","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399049450","doi":"https://doi.org/10.1007/s11063-024-11618-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11618-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11618-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11618-9.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11618-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072893138","display_name":"Na Li","orcid":"https://orcid.org/0000-0002-2547-3993"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Li","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567077","display_name":"Sen Xu","orcid":"https://orcid.org/0000-0002-0207-3719"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Xu","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004743545","display_name":"Heyang Xu","orcid":"https://orcid.org/0000-0002-5625-9439"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyang Xu","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100928864","display_name":"Xiufang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiufang Xu","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004580967","display_name":"Naixuan Guo","orcid":"https://orcid.org/0000-0002-6375-3419"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naixuan Guo","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101841229","display_name":"Na Cai","orcid":"https://orcid.org/0000-0003-3520-0072"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Cai","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Youth Road, Yancheng, 224051, Jiangsu, China","institution_ids":["https://openalex.org/I4210157719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101567077"],"corresponding_institution_ids":["https://openalex.org/I4210157719"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":1.7011,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85693879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"56","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9940999746322632,"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/cluster-analysis","display_name":"Cluster analysis","score":0.658135175704956},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6540480256080627},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6068165898323059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.455900639295578},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41044723987579346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3765868544578552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3676879405975342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3234786093235016},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23560985922813416},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05541214346885681}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.658135175704956},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6540480256080627},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6068165898323059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.455900639295578},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41044723987579346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3765868544578552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3676879405975342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3234786093235016},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23560985922813416},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05541214346885681}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11618-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11618-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11618-9.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11618-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11618-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11618-9.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399049450.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1599173567","https://openalex.org/W1967761844","https://openalex.org/W1990063425","https://openalex.org/W2024975721","https://openalex.org/W2028899393","https://openalex.org/W2035379061","https://openalex.org/W2097645701","https://openalex.org/W2116984363","https://openalex.org/W2155916898","https://openalex.org/W2520619240","https://openalex.org/W2568618480","https://openalex.org/W2760997042","https://openalex.org/W2773251242","https://openalex.org/W2791201940","https://openalex.org/W2886355144","https://openalex.org/W2911942613","https://openalex.org/W2930504712","https://openalex.org/W2952171869","https://openalex.org/W2989219518","https://openalex.org/W3004367185","https://openalex.org/W3006658955","https://openalex.org/W3006929143","https://openalex.org/W3101747232","https://openalex.org/W3109072952","https://openalex.org/W3111181422","https://openalex.org/W3112723567","https://openalex.org/W3118953379","https://openalex.org/W3119027549","https://openalex.org/W3121976317","https://openalex.org/W3164465337","https://openalex.org/W3178355327","https://openalex.org/W3196973577","https://openalex.org/W3201051999","https://openalex.org/W3201683003","https://openalex.org/W3202085077","https://openalex.org/W3202182910","https://openalex.org/W3214688791","https://openalex.org/W4306173965","https://openalex.org/W4307832574","https://openalex.org/W4311488565","https://openalex.org/W4313529865","https://openalex.org/W4319302580","https://openalex.org/W4365814113"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Abstract":[0],"Clustering":[1],"ensembles":[2],"can":[3,146,175],"obtain":[4,88],"more":[5],"superior":[6],"final":[7],"results":[8,134,179],"by":[9,79,93,109,154],"combining":[10],"multiple":[11],"different":[12],"clustering":[13,31,59,106,144,164,178],"results.":[14],"The":[15,67,132],"qualities":[16],"of":[17,29,43,49,70,128,150,158],"the":[18,27,30,50,71,76,83,89,104,110,126,129,140,148,162,181],"points,":[19,99],"clusters,":[20,100],"and":[21,101,120,180],"partitions":[22],"play":[23],"crucial":[24],"roles":[25],"in":[26],"consistency":[28],"process.":[32],"However,":[33],"existing":[34],"methods":[35],"mostly":[36],"focus":[37],"on":[38],"one":[39],"or":[40],"two":[41],"aspects":[42],"them,":[44],"without":[45,166],"a":[46,56],"comprehensive":[47],"consideration":[48],"three":[51,96],"aspects.":[52],"This":[53],"paper":[54],"proposes":[55],"three-level":[57],"weighted":[58,90,143],"ensemble":[60,145,165],"algorithm":[61,65],"namely":[62,117],"unified":[63],"point-cluser-partition":[64],"(PCPA).":[66],"first":[68,186],"step":[69,85],"PCPA":[72,174,184],"is":[73,86,107,187],"to":[74,87,124],"generate":[75],"adjacency":[77,91],"matrix":[78,92],"base":[80],"clusterings.":[81],"Then,":[82],"central":[84],"successively":[94],"weighting":[95],"layers,":[97],"i.e.,":[98],"partitions.":[102],"Finally,":[103],"consensus":[105],"obtained":[108],"average":[111,156],"link":[112],"method.":[113,131],"Three":[114],"performance":[115],"indexes,":[116],"F,":[118],"NMI,":[119],"ARI,":[121],"are":[122],"used":[123],"evaluate":[125],"accuracy":[127,149],"proposed":[130,141],"experimental":[133],"show":[135],"that:":[136],"Firstly,":[137],"as":[138],"expected,":[139],"three-layer":[142],"improve":[147],"each":[151],"evaluation":[152],"index":[153],"an":[155],"value":[157],"22.07%":[159],"compared":[160,169],"with":[161,170],"direct":[163],"weighting;":[167],"Secondly,":[168],"seven":[171],"other":[172],"methods,":[173],"achieve":[176],"better":[177],"proportion":[182],"that":[183],"ranks":[185],"28/33.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
