{"id":"https://openalex.org/W4383534265","doi":"https://doi.org/10.1145/3607873","title":"Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space","display_name":"Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383534265","doi":"https://doi.org/10.1145/3607873"},"language":"en","primary_location":{"id":"doi:10.1145/3607873","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3607873","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3607873","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3607873","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009228302","display_name":"Daichi Amagata","orcid":"https://orcid.org/0000-0001-8571-4931"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daichi Amagata","raw_affiliation_strings":["Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009228302"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.2098,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83009885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9915000200271606,"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":0.7617536783218384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6933973431587219},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5872095823287964},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5592550039291382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5269696712493896},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.44454312324523926},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43788430094718933},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4190627932548523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21662086248397827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12929457426071167},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12630310654640198}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7617536783218384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933973431587219},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5872095823287964},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5592550039291382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5269696712493896},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.44454312324523926},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43788430094718933},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4190627932548523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21662086248397827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12929457426071167},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12630310654640198},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3607873","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3607873","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3607873","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3607873","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3607873","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3607873","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3282004645","display_name":null,"funder_award_id":"JPMJCR","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G5791763272","display_name":null,"funder_award_id":"JPMJCR21F2","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383534265.pdf","grobid_xml":"https://content.openalex.org/works/W4383534265.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1987111416","https://openalex.org/W2007364060","https://openalex.org/W2112482089","https://openalex.org/W2133296809","https://openalex.org/W2165558283","https://openalex.org/W2165835468","https://openalex.org/W2180566385","https://openalex.org/W2323776918","https://openalex.org/W2343620495","https://openalex.org/W2520037496","https://openalex.org/W2606083510","https://openalex.org/W2635535303","https://openalex.org/W2724314443","https://openalex.org/W2740025111","https://openalex.org/W2763519809","https://openalex.org/W2792215676","https://openalex.org/W2793112928","https://openalex.org/W2884586244","https://openalex.org/W2903672378","https://openalex.org/W3012668526","https://openalex.org/W3037685503","https://openalex.org/W3044439675","https://openalex.org/W3046083930","https://openalex.org/W3096531966","https://openalex.org/W3104083384","https://openalex.org/W3149027868","https://openalex.org/W4210466590","https://openalex.org/W4285077635","https://openalex.org/W6740246535","https://openalex.org/W6742071901"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2105228010"],"abstract_inverted_index":{"Clustering":[0,31],"multi-dimensional":[1],"points":[2],"is":[3,54,84,138],"a":[4,105],"fundamental":[5],"task":[6],"in":[7,33,112],"many":[8,14,39],"fields,":[9],"and":[10,135,163,173],"density-based":[11],"clustering":[12],"supports":[13],"applications":[15],"because":[16],"it":[17,91],"can":[18],"discover":[19],"clusters":[20],"of":[21,29,57],"arbitrary":[22,131],"shapes.":[23],"This":[24],"article":[25],"addresses":[26],"the":[27,55,88],"problem":[28],"Density-Peaks":[30],"(DPC)":[32],"Euclidean":[34],"space.":[35],"DPC":[36,68,78],"already":[37],"has":[38],"applications,":[40],"but":[41],"its":[42],"straightforward":[43,89],"implementation":[44],"incurs":[45],"O":[46,95],"(":[47,96,114],"n":[48,53,97,115],"2":[49,98,116],")":[50,99,117],"time,":[51],"where":[52],"number":[56],"points,":[58],"thereby":[59],"does":[60],"not":[61],"scale":[62],"to":[63,141],"large":[64,70],"datasets.":[65],"To":[66,146],"enable":[67],"on":[69],"datasets,":[71,162],"we":[72,149],"first":[73],"propose":[74,104,150],"empirically":[75],"efficient":[76,143,172],"exact":[77,107],"algorithm,":[79,108],"Ex-DPC.":[80],"Although":[81],"this":[82,147],"algorithm":[83],"much":[85],"faster":[86],"than":[87],"implementation,":[90],"still":[92],"suffers":[93],"from":[94],"time":[100],"theoretically.":[101],"We":[102,119,156],"hence":[103,139],"new":[106],"Ex-DPC++,":[109],"that":[110,168],"runs":[111],"o":[113],"time.":[118],"accelerate":[120],"their":[121],"efficiencies":[122],"by":[123],"leveraging":[124],"multi-threading.":[125],"Moreover,":[126],"real-world":[127],"datasets":[128],"may":[129],"have":[130],"updates":[132],"(point":[133],"insertions":[134],"deletions).":[136],"It":[137],"important":[140],"support":[142],"cluster":[144],"updates.":[145],"end,":[148],"D-DPC":[151],"for":[152],"fully":[153],"dynamic":[154],"DPC.":[155],"conduct":[157],"extensive":[158],"experiments":[159],"using":[160],"real":[161],"our":[164,169],"experimental":[165],"results":[166],"demonstrate":[167],"algorithms":[170],"are":[171],"scalable.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
