{"id":"https://openalex.org/W4415008198","doi":"https://doi.org/10.1007/s10586-025-05670-w","title":"Density peaks clustering algorithm with neighborhood optimization and micro-cluster merging","display_name":"Density peaks clustering algorithm with neighborhood optimization and micro-cluster merging","publication_year":2025,"publication_date":"2025-10-09","ids":{"openalex":"https://openalex.org/W4415008198","doi":"https://doi.org/10.1007/s10586-025-05670-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-025-05670-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05670-w","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","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/A5011460901","display_name":"Li Lv","orcid":"https://orcid.org/0000-0002-9705-806X"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]},{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Lv","raw_affiliation_strings":["Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","Nanchang Key Laboratory of IoT Perception and Collaborative Computing for Smart City, Nanchang, 330099, China","School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","institution_ids":["https://openalex.org/I4210132981"]},{"raw_affiliation_string":"Nanchang Key Laboratory of IoT Perception and Collaborative Computing for Smart City, Nanchang, 330099, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056411306","display_name":"Hongwei Tan","orcid":"https://orcid.org/0000-0002-1376-6019"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]},{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Wei Tan","raw_affiliation_strings":["Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","institution_ids":["https://openalex.org/I4210132981"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035421891","display_name":"Renbin Xiao","orcid":"https://orcid.org/0000-0003-0951-2734"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren-Bin Xiao","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460696","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0001-8213-1626"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]},{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Province Engineering Research Center for Intelligent Processing and Early Warning Technology of Water Conservancy Big Data, Nanchang, 330099, China","institution_ids":["https://openalex.org/I4210132981"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067502218","display_name":"Ivan Lee","orcid":"https://orcid.org/0000-0002-2826-6367"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ivan Lee","raw_affiliation_strings":["STEM, University of South Australia, Adelaide, SA, 5000, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM, University of South Australia, Adelaide, SA, 5000, Australia","institution_ids":["https://openalex.org/I170239107"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5011460901"],"corresponding_institution_ids":["https://openalex.org/I141103825","https://openalex.org/I141649914","https://openalex.org/I4210132981"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1060666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"15","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":0.9987000226974487,"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":0.9987000226974487,"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":0.9937000274658203,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.832099974155426},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.460999995470047},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.37860000133514404},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3675999939441681},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.3668000102043152},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.357699990272522}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.832099974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684499979019165},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5504999756813049},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4828999936580658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4122999906539917},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3675999939441681},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.3668000102043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3580000102519989},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.357699990272522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3424000144004822},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.336899995803833},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.3052000105381012},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.289000004529953},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.2703999876976013},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-025-05670-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05670-w","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1011180888","display_name":"\u57fa\u4e8e\u7a00\u758f\u8868\u793a\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u57ce\u5e02\u7ed9\u6c34\u7ba1\u7f51\u6f0f\u635f\u68c0\u6d4b\u4e0e\u5b9a\u4f4d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62066030","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2030644393","https://openalex.org/W2100470808","https://openalex.org/W2165835468","https://openalex.org/W2293435807","https://openalex.org/W2395028581","https://openalex.org/W2586696502","https://openalex.org/W2590749036","https://openalex.org/W2756395418","https://openalex.org/W2769277501","https://openalex.org/W2789456849","https://openalex.org/W2921078400","https://openalex.org/W2943286098","https://openalex.org/W2997574370","https://openalex.org/W3022483867","https://openalex.org/W3026191479","https://openalex.org/W3133223208","https://openalex.org/W3155803870","https://openalex.org/W3165254886","https://openalex.org/W3174346562","https://openalex.org/W4214825510","https://openalex.org/W4284899839","https://openalex.org/W4287448663","https://openalex.org/W4292337066","https://openalex.org/W4313593673","https://openalex.org/W4320181904","https://openalex.org/W4362701627","https://openalex.org/W4387122021","https://openalex.org/W4387807889","https://openalex.org/W4392869331","https://openalex.org/W4396620978","https://openalex.org/W4401268049","https://openalex.org/W4402206142","https://openalex.org/W4404813547","https://openalex.org/W4406164089","https://openalex.org/W4409120109","https://openalex.org/W4409885889"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
