{"id":"https://openalex.org/W4205527881","doi":"https://doi.org/10.1155/2022/4176101","title":"A Fast Density Peak Clustering Method with Autoselect Cluster Centers","display_name":"A Fast Density Peak Clustering Method with Autoselect Cluster Centers","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4205527881","doi":"https://doi.org/10.1155/2022/4176101"},"language":"en","primary_location":{"id":"doi:10.1155/2022/4176101","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/4176101","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/4176101.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2022/4176101.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":["The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China"],"raw_orcid":"https://orcid.org/0000-0003-0437-2453","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085995690","display_name":"Yongbiao Li","orcid":"https://orcid.org/0000-0002-8606-9716"},"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":"Yongbiao Li","raw_affiliation_strings":["The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China"],"raw_orcid":"https://orcid.org/0000-0002-8606-9716","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","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":false,"raw_author_name":"Hui Du","raw_affiliation_strings":["The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China"],"raw_orcid":"https://orcid.org/0000-0002-8474-2591","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042556548","display_name":"Xiaofen Wei","orcid":"https://orcid.org/0000-0001-8219-6737"},"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":"Xiaofen Wei","raw_affiliation_strings":["The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China"],"raw_orcid":"https://orcid.org/0000-0001-8219-6737","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085995690"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.6936,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73961663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9904000163078308,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8673630952835083},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.8138957023620605},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.600468635559082},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5572039484977722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.552432656288147},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5146992802619934},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5071215629577637},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5051775574684143},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.504967987537384},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4958594739437103},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.48029300570487976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3474443554878235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3099830448627472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2877348065376282},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.25318998098373413},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.15620708465576172}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8673630952835083},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.8138957023620605},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.600468635559082},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5572039484977722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.552432656288147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5146992802619934},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5071215629577637},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5051775574684143},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.504967987537384},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4958594739437103},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.48029300570487976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474443554878235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3099830448627472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2877348065376282},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.25318998098373413},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.15620708465576172},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/4176101","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/4176101","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/4176101.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:532f7f7ea68b46bfbc24992c02e3ef40","is_oa":true,"landing_page_url":"https://doaj.org/article/532f7f7ea68b46bfbc24992c02e3ef40","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":"Mobile Information Systems, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/4176101","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/4176101","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/4176101.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205527881.pdf","grobid_xml":"https://content.openalex.org/works/W4205527881.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1501500081","https://openalex.org/W1523794535","https://openalex.org/W1581406946","https://openalex.org/W1613448136","https://openalex.org/W1952993614","https://openalex.org/W1972969203","https://openalex.org/W1995450389","https://openalex.org/W2006255103","https://openalex.org/W2103886065","https://openalex.org/W2124744969","https://openalex.org/W2127218421","https://openalex.org/W2153233077","https://openalex.org/W2165835468","https://openalex.org/W2268194897","https://openalex.org/W2335239377","https://openalex.org/W2590749036","https://openalex.org/W2620511244","https://openalex.org/W2966530783","https://openalex.org/W2997574370","https://openalex.org/W3036040029","https://openalex.org/W3047655929","https://openalex.org/W3082129493","https://openalex.org/W3090540127","https://openalex.org/W3096531966","https://openalex.org/W3111124071","https://openalex.org/W3112798043","https://openalex.org/W3120740533","https://openalex.org/W3121355289","https://openalex.org/W3128183952","https://openalex.org/W4231339661"],"related_works":["https://openalex.org/W2229552629","https://openalex.org/W2599570117","https://openalex.org/W2964194803","https://openalex.org/W3004745571","https://openalex.org/W1481928625","https://openalex.org/W2159945133","https://openalex.org/W4306842420","https://openalex.org/W2598125667","https://openalex.org/W2355295424","https://openalex.org/W188786151"],"abstract_inverted_index":{"Aiming":[0],"at":[1,64],"density":[2],"peaks":[3],"clustering":[4,17,99],"needs":[5],"to":[6,39,76,80],"manually":[7],"select":[8],"cluster":[9,21,62,78,83,95],"centers,":[10],"this":[11],"paper":[12],"proposes":[13],"a":[14],"fast":[15],"new":[16],"method":[18,25,86],"with":[19,101],"auto-select":[20],"centers.":[22],"Firstly,":[23],"our":[24],"groups":[26,37,51,75],"the":[27,57,61,65,77,81,88,91,102],"data":[28],"and":[29,59,97],"marks":[30],"each":[31,69],"group":[32],"as":[33],"core":[34,50],"or":[35],"boundary":[36,74],"according":[38],"its":[40],"density.":[41],"Secondly,":[42],"it":[43,72],"determines":[44],"clusters":[45],"by":[46],"iteratively":[47],"merging":[48],"two":[49],"whose":[52],"distance":[53],"is":[54],"less":[55],"than":[56],"threshold":[58],"selects":[60],"centers":[63,96],"densest":[66],"position":[67],"in":[68],"cluster.":[70],"Finally,":[71],"assigns":[73],"corresponding":[79],"nearest":[82],"center.":[84],"Our":[85],"eliminates":[87],"need":[89],"for":[90],"manual":[92],"selection":[93],"of":[94],"improves":[98],"efficiency":[100],"experimental":[103],"results.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}