{"id":"https://openalex.org/W2756806229","doi":"https://doi.org/10.1109/tsmc.2017.2745493","title":"DHeat: A Density Heat-Based Algorithm for Clustering With Effective Radius","display_name":"DHeat: A Density Heat-Based Algorithm for Clustering With Effective Radius","publication_year":2017,"publication_date":"2017-09-22","ids":{"openalex":"https://openalex.org/W2756806229","doi":"https://doi.org/10.1109/tsmc.2017.2745493","mag":"2756806229"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2017.2745493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2745493","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","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/A5051404919","display_name":"Yewang Chen","orcid":"https://orcid.org/0000-0001-9691-0807"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yewang Chen","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-9691-0807","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025380506","display_name":"Shengyu Tang","orcid":"https://orcid.org/0009-0002-0923-3751"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Tang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024369224","display_name":"Songwen Pei","orcid":"https://orcid.org/0000-0003-0810-1458"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwen Pei","raw_affiliation_strings":["School of Management, Fudan University, Shanghai, China","Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0810-1458","affiliations":[{"raw_affiliation_string":"School of Management, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004062770","display_name":"Ji\u2010Xiang Du","orcid":"https://orcid.org/0000-0003-2386-770X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Du","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naixue Xiong","raw_affiliation_strings":["Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3046,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9390365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"48","issue":"4","first_page":"649","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9926999807357788,"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":0.9896000027656555,"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/dbscan","display_name":"DBSCAN","score":0.9028924703598022},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8082454204559326},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.766754150390625},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5197110176086426},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5045651197433472},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47454580664634705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45089486241340637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3537466526031494},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24487140774726868},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.22995257377624512},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19960692524909973},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.19387367367744446}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.9028924703598022},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8082454204559326},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.766754150390625},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5197110176086426},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5045651197433472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47454580664634705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45089486241340637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3537466526031494},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24487140774726868},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.22995257377624512},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19960692524909973},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.19387367367744446},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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:10.1109/tsmc.2017.2745493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2745493","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.75}],"awards":[{"id":"https://openalex.org/G1351419765","display_name":null,"funder_award_id":"2016J01303","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G1943446684","display_name":null,"funder_award_id":"15ZR1428600","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G4883629846","display_name":"\u6570\u636e\u5e76\u884c\u4e0e\u7ebf\u7a0b\u5e76\u884c\u5408\u4e00\u7684\u53ef\u4f38\u7f29\u5904\u7406\u5668\u4f53\u7cfb\u7ed3\u6784","funder_award_id":"61332009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5839326936","display_name":null,"funder_award_id":"2017M610230","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8002125261","display_name":null,"funder_award_id":"16YJG13","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322182","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W765106422","https://openalex.org/W1673310716","https://openalex.org/W1841961408","https://openalex.org/W1971022913","https://openalex.org/W1971750638","https://openalex.org/W1987971958","https://openalex.org/W2002041442","https://openalex.org/W2008572210","https://openalex.org/W2011430131","https://openalex.org/W2016381774","https://openalex.org/W2019027165","https://openalex.org/W2022686119","https://openalex.org/W2031244985","https://openalex.org/W2050947749","https://openalex.org/W2051224630","https://openalex.org/W2056811412","https://openalex.org/W2061034685","https://openalex.org/W2073583237","https://openalex.org/W2091336043","https://openalex.org/W2092799168","https://openalex.org/W2096100960","https://openalex.org/W2103560185","https://openalex.org/W2108323654","https://openalex.org/W2122869529","https://openalex.org/W2122964432","https://openalex.org/W2125464731","https://openalex.org/W2127218421","https://openalex.org/W2141585940","https://openalex.org/W2145937819","https://openalex.org/W2150761236","https://openalex.org/W2155074104","https://openalex.org/W2158184062","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2222512263","https://openalex.org/W2278954482","https://openalex.org/W2295256067","https://openalex.org/W2326587871","https://openalex.org/W2503810077","https://openalex.org/W2542194815","https://openalex.org/W2795859997","https://openalex.org/W2999729612","https://openalex.org/W3120740533","https://openalex.org/W4245003414","https://openalex.org/W6637131181","https://openalex.org/W6678914141","https://openalex.org/W6724986307"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W3176449234","https://openalex.org/W2807508722","https://openalex.org/W2767235736","https://openalex.org/W2353158678","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2604015980"],"abstract_inverted_index":{"Density-based":[0],"clustering":[1,11,80],"is":[2,49,87,97,115,127],"one":[3,109],"of":[4,9,15,23,44,95,102,108,120,151,158,172],"the":[5,37,42,93,100,106,118,121,124,148,155,170,180],"most":[6,13],"popular":[7],"paradigms":[8],"existing":[10],"approaches,":[12],"approaches":[14],"this":[16],"kind,":[17],"such":[18,140],"as":[19,82,141],"DBSCAN,":[20,59],"recognize":[21],"clusters":[22,96],"data":[24,103,110],"characterized":[25],"by":[26,36,99],"a":[27,45,152],"fixed":[28,38],"scanning":[29,39,47,182],"radius.":[30,183],"However,":[31],"some":[32],"flaws":[33],"are":[34],"caused":[35],"radius,":[40],"e.g.,":[41],"determination":[43],"proper":[46],"radius":[48,70],"nontrivial.":[50],"In":[51],"order":[52],"to":[53,117],"solve":[54],"these":[55,78],"problems,":[56],"we":[57,76],"revise":[58],"Meanshift,":[60],"DPeak,":[61],"etc.":[62],"based":[63,88],"on":[64,89,164],"two":[65,90],"new":[66],"features,":[67],"i.e.,":[68],"effective":[69],"and":[71,105,129,179],"density":[72,107,125,138,157],"heat":[73],"(DHeat).":[74],"Generally,":[75],"name":[77],"revised":[79],"algorithms":[81],"DHeat.":[83],"The":[84,161],"underlying":[85],"idea":[86],"assumptions:":[91],"1)":[92],"existence":[94],"raised":[98],"nonuniformity":[101],"distribution,":[104],"point":[111,153],"within":[112],"its":[113,176],"r-neighborhood":[114],"proportional":[116],"volume":[119],"neighborhood":[122],"provided":[123],"distribution":[126],"uniform":[128],"2)":[130],"each":[131],"cluster":[132],"can":[133],"be":[134],"divided":[135],"into":[136],"different":[137],"layers,":[139],"edges,":[142],"shallow":[143],"inner,":[144,146],"deep":[145],"etc.;":[147],"deeper":[149],"inner":[150],"locates,":[154],"higher":[156],"that":[159,169],"point.":[160],"experiments":[162],"conducted":[163],"various":[165],"test":[166],"cases":[167],"show":[168],"advantage":[171],"DHeat":[173],"lies":[174],"in":[175],"good":[177],"performance":[178],"self-adapting":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}