{"id":"https://openalex.org/W4379805115","doi":"https://doi.org/10.1109/access.2023.3283561","title":"Density Peaks Clustering Based on Candidate Center and Multi Assignment Policies","display_name":"Density Peaks Clustering Based on Candidate Center and Multi Assignment Policies","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379805115","doi":"https://doi.org/10.1109/access.2023.3283561"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3283561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10146204.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10146204.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102025064","display_name":"Yanli Shi","orcid":"https://orcid.org/0000-0003-2935-0234"},"institutions":[{"id":"https://openalex.org/I4210125838","display_name":"Jilin University of Chemical Technology","ror":"https://ror.org/03bvz5p76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125838"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Shi","raw_affiliation_strings":["School of Science, Jilin Institute of Chemical Technology, Jilin, China","College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0003-2935-0234","affiliations":[{"raw_affiliation_string":"School of Science, Jilin Institute of Chemical Technology, Jilin, China","institution_ids":["https://openalex.org/I4210125838"]},{"raw_affiliation_string":"College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China","institution_ids":["https://openalex.org/I4210125838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104126581","display_name":"Luyao Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125838","display_name":"Jilin University of Chemical Technology","ror":"https://ror.org/03bvz5p76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125838"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Bai","raw_affiliation_strings":["School of Science, Jilin Institute of Chemical Technology, Jilin, China","College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Jilin Institute of Chemical Technology, Jilin, China","institution_ids":["https://openalex.org/I4210125838"]},{"raw_affiliation_string":"College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China","institution_ids":["https://openalex.org/I4210125838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3053,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83922456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"57158","last_page":"57173"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9934999942779541,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7676124572753906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7414894104003906},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6058247685432434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5767084360122681},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5732134580612183},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5393940806388855},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4406958520412445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32383662462234497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30989065766334534},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09201326966285706}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7676124572753906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414894104003906},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6058247685432434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5767084360122681},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5732134580612183},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5393940806388855},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4406958520412445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32383662462234497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30989065766334534},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09201326966285706},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3283561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10146204.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b451ce9a97a84ac681839c2504e13c05","is_oa":true,"landing_page_url":"https://doaj.org/article/b451ce9a97a84ac681839c2504e13c05","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 57158-57173 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3283561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283561","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10146204.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5296667042","display_name":null,"funder_award_id":"YDZJ202201ZYTS602","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379805115.pdf","grobid_xml":"https://content.openalex.org/works/W4379805115.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1566114229","https://openalex.org/W1978348710","https://openalex.org/W1987111416","https://openalex.org/W2003094092","https://openalex.org/W2011430131","https://openalex.org/W2021218705","https://openalex.org/W2065347048","https://openalex.org/W2109202835","https://openalex.org/W2158703410","https://openalex.org/W2162833336","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2165874743","https://openalex.org/W2293435807","https://openalex.org/W2586696502","https://openalex.org/W2740924709","https://openalex.org/W2789456849","https://openalex.org/W2887102415","https://openalex.org/W2921078400","https://openalex.org/W3018455290","https://openalex.org/W3026191479","https://openalex.org/W3029274297","https://openalex.org/W3033217141","https://openalex.org/W3035866541","https://openalex.org/W3138086272","https://openalex.org/W3174346562","https://openalex.org/W3186091442","https://openalex.org/W4235145261","https://openalex.org/W4251348903","https://openalex.org/W4284899839","https://openalex.org/W4303628476","https://openalex.org/W4307997844","https://openalex.org/W4311088277","https://openalex.org/W6633857196","https://openalex.org/W6684050148","https://openalex.org/W6684578312"],"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/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Density":[0],"peak":[1],"clustering":[2,45,174],"(DPC)":[3],"the":[4,8,17,31,39,75,92,96,112,120,127,134,138,147,154,167],"center":[5,49,72,89],"selection":[6],"ignores":[7],"environment":[9],"of":[10,20,34,95,114,146],"samples,":[11],"which":[12,137],"can":[13,28],"easily":[14,29],"result":[15],"in":[16,74,136],"incorrect":[18],"identification":[19],"cluster":[21,60,88,97,115],"centers.":[22],"Additionally,":[23],"a":[24,42],"single":[25],"allocation":[26,35,93,107,113,128,156],"approach":[27],"produce":[30],"joint":[32],"effect":[33],"mistakes.":[36],"To":[37],"address":[38],"above":[40],"issues,":[41],"density":[43],"peaks":[44],"based":[46],"on":[47,160,175],"candidate":[48,71],"and":[50,162,178],"multi":[51],"assignment":[52],"policies":[53],"(DPC-CM)":[54],"is":[55],"proposed.":[56],"Firstly,":[57],"to":[58,69,85],"retain":[59],"centers":[61],"with":[62],"relatively":[63],"small":[64],"densities,":[65],"DPC-CM":[66,168],"introduces":[67],"thresholds":[68],"delineate":[70],"regions":[73],"decision":[76],"graph.":[77],"It":[78],"also":[79,125,150],"incorporates":[80],"shared":[81,102],"nearest":[82,103],"neighbor":[83,104],"definitions":[84],"ensure":[86],"proper":[87],"selection.":[90],"Then,":[91],"results":[94,159],"backbone":[98,116],"are":[99,141],"corrected":[100],"using":[101],"information,":[105],"suppressing":[106],"cascading":[108],"errors":[109],"effectively.":[110],"Finally,":[111],"points":[117],"used":[118],"as":[119],"basis":[121],"for":[122,173],"label":[123],"propagation":[124],"improves":[126],"efficiency":[129],"while":[130],"taking":[131],"into":[132],"account":[133],"surroundings":[135],"sample":[139],"sites":[140],"situated.":[142],"The":[143],"fault":[144],"tolerance":[145],"algorithm":[148,169],"has":[149],"been":[151],"enhanced":[152],"by":[153],"multi-step":[155],"strategy.":[157],"Experimental":[158],"synthetic":[161],"UCI":[163],"datasets":[164],"validate":[165],"that":[166],"outperforms":[170],"comparative":[171],"algorithms":[172],"complex":[176],"morphological":[177],"unevenly":[179],"distributed":[180],"datasets.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}