{"id":"https://openalex.org/W2955710195","doi":"https://doi.org/10.3233/ida-192829","title":"A fuzzy mixed data clustering algorithm by fast search and find of density peaks","display_name":"A fuzzy mixed data clustering algorithm by fast search and find of density peaks","publication_year":2019,"publication_date":"2019-06-27","ids":{"openalex":"https://openalex.org/W2955710195","doi":"https://doi.org/10.3233/ida-192829","mag":"2955710195"},"language":"en","primary_location":{"id":"doi:10.3233/ida-192829","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-192829","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5100339233","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-5351-8546"},"institutions":[{"id":"https://openalex.org/I114218197","display_name":"Chinese Academy of Social Sciences","ror":"https://ror.org/05bxbmy32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197"]},{"id":"https://openalex.org/I4391012565","display_name":"University of Chinese Academy of Social Sciences","ror":"https://ror.org/03va9g668","country_code":null,"type":"education","lineage":["https://openalex.org/I4391012565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China"],"affiliations":[{"raw_affiliation_string":"Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China","institution_ids":["https://openalex.org/I114218197","https://openalex.org/I4391012565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631113","display_name":"Yiyan Chen","orcid":"https://orcid.org/0000-0003-0854-6932"},"institutions":[{"id":"https://openalex.org/I114218197","display_name":"Chinese Academy of Social Sciences","ror":"https://ror.org/05bxbmy32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4391012565","display_name":"University of Chinese Academy of Social Sciences","ror":"https://ror.org/03va9g668","country_code":null,"type":"education","lineage":["https://openalex.org/I4391012565"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyan Chen","raw_affiliation_strings":["Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China","School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China","Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China; School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China","institution_ids":["https://openalex.org/I114218197","https://openalex.org/I4391012565"]},{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Graduate School, University of Chinese Academy of Social Sciences, Beijing 102488, China; School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I114218197","https://openalex.org/I125839683","https://openalex.org/I4391012565"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426184","display_name":"Qun Li","orcid":"https://orcid.org/0000-0003-2231-6615"},"institutions":[{"id":"https://openalex.org/I4210129476","display_name":"Institute of Quantitative and Technical Economics","ror":"https://ror.org/02nf1ky18","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197","https://openalex.org/I4210129476"]},{"id":"https://openalex.org/I114218197","display_name":"Chinese Academy of Social Sciences","ror":"https://ror.org/05bxbmy32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Li","raw_affiliation_strings":["Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing 100732, China"],"affiliations":[{"raw_affiliation_string":"Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing 100732, China","institution_ids":["https://openalex.org/I4210129476","https://openalex.org/I114218197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100631113"],"corresponding_institution_ids":["https://openalex.org/I114218197","https://openalex.org/I125839683","https://openalex.org/I4391012565"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55529768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"199","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9943000078201294,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6671332716941833},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5721495151519775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5628892183303833},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.5389633178710938},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5232871174812317},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5196260809898376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4961917996406555},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4956403970718384},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4869998097419739},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4733448326587677},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.46456801891326904},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.39149001240730286},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3678198456764221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3365262746810913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32285845279693604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10219192504882812}],"concepts":[{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6671332716941833},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5721495151519775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5628892183303833},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.5389633178710938},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5232871174812317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5196260809898376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4961917996406555},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4956403970718384},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4869998097419739},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4733448326587677},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.46456801891326904},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.39149001240730286},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3678198456764221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3365262746810913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32285845279693604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10219192504882812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-192829","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-192829","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1551631385","https://openalex.org/W1597610884","https://openalex.org/W1987098293","https://openalex.org/W1995450389","https://openalex.org/W2022114174","https://openalex.org/W2026360870","https://openalex.org/W2055077110","https://openalex.org/W2057712948","https://openalex.org/W2085757576","https://openalex.org/W2088698696","https://openalex.org/W2102243239","https://openalex.org/W2102880413","https://openalex.org/W2163764425","https://openalex.org/W2165835468","https://openalex.org/W2167428023","https://openalex.org/W2293143280","https://openalex.org/W2297804954","https://openalex.org/W2315820913","https://openalex.org/W2328471096","https://openalex.org/W2409154825","https://openalex.org/W2429972724","https://openalex.org/W2528186827","https://openalex.org/W2569468202","https://openalex.org/W2569535230","https://openalex.org/W2570766541","https://openalex.org/W2625197571","https://openalex.org/W2765377385","https://openalex.org/W2776919856","https://openalex.org/W2779640815","https://openalex.org/W2794352515","https://openalex.org/W2808083755","https://openalex.org/W3022351671","https://openalex.org/W4211007335","https://openalex.org/W4252521233","https://openalex.org/W4285719527","https://openalex.org/W4399233900","https://openalex.org/W6600654476","https://openalex.org/W6684727711","https://openalex.org/W6869474312","https://openalex.org/W7067836975"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W1952396636","https://openalex.org/W85606319","https://openalex.org/W2331106272","https://openalex.org/W1975005191","https://openalex.org/W173448675","https://openalex.org/W1542808721"],"abstract_inverted_index":{"If":[0],"we":[1,9,87],"endow":[2],"an":[3,89],"intelligent":[4],"system":[5],"with":[6,15,79,100],"fuzzy":[7,16,22,28,64,67,73,84,98,121,138],"logic,":[8],"hope":[10],"that":[11],"it":[12],"can":[13],"deal":[14],"data,":[17],"including":[18],"the":[19,47,80,106,117,126,130,143,165,168],"clustering":[20,31,49,60,127,144],"of":[21,38,46,58,82,129,146,158,167],"data.":[23,69,123],"This":[24],"paper":[25],"proposes":[26],"a":[27,44,50,56,133],"mixed":[29,68,74,122],"data":[30,75],"algorithm":[32,54,149],"by":[33],"fast":[34],"search":[35],"and":[36,96,110,142],"find":[37],"density":[39],"peaks":[40],"(FMTD-CFSFDP),":[41],"which":[42,163],"is":[43,55,113,140],"development":[45],"CFSFDP":[48,131],"lgorithm.":[51],"The":[52],"proposed":[53,148,169],"kind":[57],"density-based":[59],"method":[61],"established":[62],"using":[63],"sets":[65,99,157],"for":[66,72,93,115,120,137],"Mathematical":[70],"definitions":[71],"are":[76,150,161],"presented.":[77],"Combined":[78],"definition":[81],"traditional":[83],"Euclidean":[85,91],"distance,":[86],"defined":[88],"improved":[90],"distance":[92],"both":[94],"continuous":[95,109],"discrete":[97,111],"smaller":[101],"error.":[102],"On":[103],"this":[104],"basis,":[105],"weight":[107],"between":[108],"indicators":[112],"introduced":[114],"establishing":[116],"global":[118],"difference":[119],"Referring":[124],"to":[125],"procedures":[128,145],"algorithm,":[132],"Gaussian":[134],"Kernel":[135],"function":[136],"samples":[139],"calculated":[141],"our":[147],"described":[151],"in":[152],"detail.":[153],"Furthermore,":[154],"four":[155],"different":[156],"random":[159],"simulations":[160],"performed,":[162],"illustrates":[164],"feasibility":[166],"algorithm.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
