{"id":"https://openalex.org/W4403351115","doi":"https://doi.org/10.1145/3695080.3695085","title":"Density Peak Clustering Algorithm Based on Natural Neighbor and Diffusion Assignment","display_name":"Density Peak Clustering Algorithm Based on Natural Neighbor and Diffusion Assignment","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4403351115","doi":"https://doi.org/10.1145/3695080.3695085"},"language":"en","primary_location":{"id":"doi:10.1145/3695080.3695085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032367605","display_name":"Zidan Zhang","orcid":"https://orcid.org/0009-0000-0329-4292"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zidan Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0009-0000-0329-4292","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111008429","display_name":"Hua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Xu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0009-0005-2697-4502","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111363285","display_name":"Chongyang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Yang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0009-0006-3943-0552","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9878000020980835,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9697999954223633,"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":0.7211377620697021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129589676856995},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.568264901638031},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5312620997428894},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.42153578996658325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32240766286849976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25417834520339966},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1125851571559906},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08231976628303528}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7211377620697021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129589676856995},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.568264901638031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5312620997428894},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.42153578996658325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32240766286849976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25417834520339966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1125851571559906},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08231976628303528},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3695080.3695085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2165835468","https://openalex.org/W2415890883","https://openalex.org/W2887102415","https://openalex.org/W2968817369","https://openalex.org/W2997574370","https://openalex.org/W3159363511"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2132641928","https://openalex.org/W2181413294","https://openalex.org/W4310225030"],"abstract_inverted_index":{"Density":[0],"Peaks":[1],"Clustering":[2],"(DPC)":[3],"algorithm":[4,43,72,223,242],"identifies":[5],"cluster":[6,31,135,245],"centers":[7,32,139,157,164],"based":[8,73,176,197],"on":[9,22,74,130,177,198,230],"local":[10,93],"density":[11,69,94,103],"and":[12,77,91,107,182,206,226,232],"relative":[13],"distance,":[14],"disregarding":[15],"the":[16,19,37,65,84,92,102,108,112,122,125,131,145,149,154,161,167,171,178,183,194,199,202,207,213,221,240,246],"effect":[17,215],"of":[18,41,59,86,95,104,124,127,133,153,216],"sample's":[20],"environment":[21,109],"its":[23,227],"density.":[24],"This":[25,117],"makes":[26],"it":[27,54],"challenging":[28],"to":[29,120,160,165],"identify":[30],"in":[33,110],"low-density":[34],"regions.":[35],"Moreover,":[36],"single-step":[38],"allocation":[39,61,79],"strategy":[40],"DPC":[42,225],"lacks":[44],"fault":[45],"tolerance.":[46],"If":[47],"a":[48,57,68],"sample":[49,96,105,113,180,195,204],"point":[50],"is":[51,81,89,98,118,190],"incorrectly":[52],"allocated,":[53],"can":[55,243],"trigger":[56],"cascade":[58],"subsequent":[60],"error.":[62],"To":[63],"solve":[64],"aforementioned":[66],"issue,":[67],"peak":[70],"clustering":[71,138,156,163,188],"natural":[75,87,150],"neighbors":[76,88],"diffusion":[78],"(NNDA-DPC)":[80],"proposed.":[82],"Firstly,":[83],"concept":[85],"introduced,":[90],"points":[97,106,114,152,181,196,205],"redefined":[99],"by":[100,143,192],"considering":[101],"which":[111,210],"are":[115,140,158,174],"located.":[116],"done":[119],"reduce":[121],"influence":[123],"sparsity":[126],"class":[128,134],"clusters":[129],"selection":[132],"centers.":[136],"The":[137,186,235],"automatically":[141],"determined":[142],"computing":[144],"decision":[146],"value.":[147],"Secondly,":[148],"neighbor":[151],"selected":[155],"assigned":[159],"corresponding":[162],"form":[166],"initial":[168,172,184,208],"microclusters.":[169],"Finally,":[170],"microclusters":[173],"formed":[175],"remaining":[179,203],"clusters.":[185],"final":[187],"result":[189],"obtained":[191],"assigning":[193],"correlation":[200],"between":[201],"clusters,":[209],"helps":[211],"prevent":[212],"cascading":[214],"assignment":[217],"errors.":[218],"We":[219],"compared":[220],"NNDA-DPC":[222,241],"with":[224],"enhanced":[228],"versions":[229],"artificial":[231],"UCI":[233],"datasets.":[234,247],"experimental":[236],"results":[237],"demonstrate":[238],"that":[239],"efficiently":[244]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
