{"id":"https://openalex.org/W4200365331","doi":"https://doi.org/10.1080/09540091.2021.2012422","title":"An improved density peaks clustering algorithm by automatic determination of cluster centres","display_name":"An improved density peaks clustering algorithm by automatic determination of cluster centres","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W4200365331","doi":"https://doi.org/10.1080/09540091.2021.2012422"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2021.2012422","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2012422","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2012422?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2012422?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101568357","display_name":"Hui Du","orcid":"https://orcid.org/0000-0002-8474-2591"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Du","raw_affiliation_strings":["College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049131979","display_name":"Yanting Hao","orcid":"https://orcid.org/0009-0009-1527-7911"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Hao","raw_affiliation_strings":["College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101516057","display_name":"Zhihe Wang","orcid":"https://orcid.org/0000-0003-0437-2453"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihe Wang","raw_affiliation_strings":["College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"College of Computer Science & Engineering, Northwest Normal University, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101568357"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.8395,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79548489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"34","issue":"1","first_page":"857","last_page":"873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983000159263611,"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/T10057","display_name":"Face and Expression Recognition","score":0.9775000214576721,"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":0.8527292013168335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7614932656288147},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.679955780506134},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.560804009437561},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47971171140670776},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4683729112148285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45985299348831177},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4361534118652344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4277169704437256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4248877763748169},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.41018766164779663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3940119743347168},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3767147362232208},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13846006989479065}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8527292013168335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7614932656288147},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.679955780506134},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.560804009437561},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47971171140670776},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4683729112148285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45985299348831177},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4361534118652344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4277169704437256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4248877763748169},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.41018766164779663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3940119743347168},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3767147362232208},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13846006989479065},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2021.2012422","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2012422","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2012422?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd8aa3e7e7bb465abf3648cc917f093c","is_oa":false,"landing_page_url":"https://doaj.org/article/bd8aa3e7e7bb465abf3648cc917f093c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 34, Iss 1, Pp 857-873 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2021.2012422","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2021.2012422","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.2012422?needAccess=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G573500221","display_name":null,"funder_award_id":"619 62054","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4200365331.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W66443818","https://openalex.org/W2006611586","https://openalex.org/W2011430131","https://openalex.org/W2025037675","https://openalex.org/W2033189141","https://openalex.org/W2057923756","https://openalex.org/W2058063871","https://openalex.org/W2115318452","https://openalex.org/W2117346966","https://openalex.org/W2157305948","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2272544077","https://openalex.org/W2301695553","https://openalex.org/W2467028315","https://openalex.org/W2469486851","https://openalex.org/W2559461457","https://openalex.org/W2618416470","https://openalex.org/W2635535303","https://openalex.org/W2804388974","https://openalex.org/W2884586244","https://openalex.org/W2886638513","https://openalex.org/W2921385201","https://openalex.org/W2977620381","https://openalex.org/W2981001919","https://openalex.org/W2981832725","https://openalex.org/W2999196706","https://openalex.org/W3004688128","https://openalex.org/W3015775027","https://openalex.org/W3025793945","https://openalex.org/W3043586956","https://openalex.org/W3047655929","https://openalex.org/W3145013517","https://openalex.org/W4246746836","https://openalex.org/W4247115071"],"related_works":["https://openalex.org/W3168768270","https://openalex.org/W4310575853","https://openalex.org/W2389934482","https://openalex.org/W1491908038","https://openalex.org/W4200404937","https://openalex.org/W3176177124","https://openalex.org/W2356030476","https://openalex.org/W1957537378","https://openalex.org/W1963729455","https://openalex.org/W2781999953"],"abstract_inverted_index":{"The":[0,121],"fast":[1],"search":[2],"and":[3,34,38,76,132,143],"find":[4],"of":[5,22,54,117],"density":[6],"peaks":[7],"clustering":[8,17,130,139],"(FDP)":[9],"is":[10,30,40,67],"an":[11,51],"algorithm":[12,57],"that":[13,124],"can":[14,127],"gain":[15],"satisfactory":[16],"results":[18,122,131],"with":[19,72],"manual":[20,28],"selection":[21,29],"the":[23,60,73,81,85,89,93,105,114,118,125],"cluster":[24,45,55,90,97],"centres.":[25,91],"However,":[26],"this":[27],"difficult":[31],"for":[32],"larger":[33,83],"more":[35],"complex":[36],"datasets,":[37],"it":[39],"easy":[41],"to":[42,103],"split":[43],"a":[44,63],"into":[46],"multiple":[47],"subclusters.":[48],"We":[49,79],"propose":[50],"automatic":[52],"determination":[53],"centres":[56,98],"(A-FDP).":[58],"On":[59,92],"one":[61],"hand,":[62,95],"new":[64],"decision":[65,86],"threshold":[66,87],"designed":[68],"in":[69],"A-FDP":[70,126],"combined":[71],"InterQuartile":[74],"Range":[75],"standard":[77],"deviation.":[78],"select":[80],"points":[82],"than":[84,136],"as":[88,101],"other":[94,137],"these":[96],"are":[99,110],"made":[100],"nodes":[102],"construct":[104],"connected":[106,115,119],"graphs.":[107],"These":[108],"subclusters":[109],"merged":[111],"by":[112],"finding":[113],"components":[116],"graph.":[120],"show":[123],"obtain":[128],"better":[129],"have":[133],"higher":[134],"accuracy":[135],"classical":[138],"algorithms":[140],"on":[141],"synthetic":[142],"UCI":[144],"datasets.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}