{"id":"https://openalex.org/W3144608580","doi":"https://doi.org/10.3233/jifs-201858","title":"An effective fuzzy clustering algorithm with outlier identification feature","display_name":"An effective fuzzy clustering algorithm with outlier identification feature","publication_year":2021,"publication_date":"2021-03-26","ids":{"openalex":"https://openalex.org/W3144608580","doi":"https://doi.org/10.3233/jifs-201858","mag":"3144608580"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201858","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy 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/A5110784462","display_name":"Anjana Gosain","orcid":null},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjana Gosain","raw_affiliation_strings":["USICT, Guru Gobind Singh Indraprastha University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"USICT, Guru Gobind Singh Indraprastha University, Delhi, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102708368","display_name":"Sonika Dahiya","orcid":"https://orcid.org/0000-0002-5843-6646"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sonika Dahiya","raw_affiliation_strings":["CSE Department, Delhi Technological University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"CSE Department, Delhi Technological University, Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102708368"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":1.0877,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81238687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"41","issue":"1","first_page":"2417","last_page":"2428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9878000020980835,"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":0.9829000234603882,"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/outlier","display_name":"Outlier","score":0.6686279773712158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6384522914886475},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5687711238861084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5432092547416687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5347005724906921},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4675382971763611},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.44995787739753723},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4212341904640198},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4165080785751343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4048980474472046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3794316351413727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3729020953178406}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6686279773712158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6384522914886475},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5687711238861084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432092547416687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5347005724906921},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4675382971763611},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.44995787739753723},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4212341904640198},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4165080785751343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4048980474472046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3794316351413727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3729020953178406},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-201858","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W343066586","https://openalex.org/W1673310716","https://openalex.org/W1992419399","https://openalex.org/W1995450389","https://openalex.org/W2007861510","https://openalex.org/W2011181505","https://openalex.org/W2028744370","https://openalex.org/W2034409301","https://openalex.org/W2073011979","https://openalex.org/W2090302258","https://openalex.org/W2116442055","https://openalex.org/W2120688485","https://openalex.org/W2121028596","https://openalex.org/W2142827986","https://openalex.org/W2167428023","https://openalex.org/W2319017187","https://openalex.org/W2801174074","https://openalex.org/W2811137829","https://openalex.org/W2920003185","https://openalex.org/W2981437988","https://openalex.org/W2983961023","https://openalex.org/W2997695079","https://openalex.org/W2999733746","https://openalex.org/W3022057558","https://openalex.org/W3092928642","https://openalex.org/W3148443593","https://openalex.org/W4211007335","https://openalex.org/W6637131181","https://openalex.org/W6760628173"],"related_works":["https://openalex.org/W2160314512","https://openalex.org/W2611432661","https://openalex.org/W2390188950","https://openalex.org/W122234192","https://openalex.org/W4250175685","https://openalex.org/W76294416","https://openalex.org/W1591209867","https://openalex.org/W2343149624","https://openalex.org/W2386398180","https://openalex.org/W2991225801"],"abstract_inverted_index":{"DKIFCM":[0,26,120,164],"(Density":[1],"Based":[2],"Kernelized":[3,31],"Intuitionistic":[4,32,132],"Fuzzy":[5,33],"C":[6,34],"Means)":[7],"is":[8,15,27,148],"the":[9,41,45,66,143,155],"new":[10],"proposed":[11,146],"clustering":[12],"algorithm":[13,37,147],"that":[14],"based":[16,53],"on":[17,54,81,103],"outlier":[18,166],"identification,":[19,167],"kernel":[20],"functions,":[21],"and":[22,38,58,74,93,95,113,138,142,159,171],"intuitionist":[23],"fuzzy":[24],"approach.":[25],"an":[28],"inspiration":[29],"from":[30],"Means":[35],"(KIFCM)":[36],"it":[39],"addresses":[40],"performance":[42,144],"issue":[43],"in":[44,154],"presence":[46,156],"of":[47,56,76,119,125,145,157,163],"outliers.":[48],"It":[49],"first":[50],"identifies":[51],"outliers":[52,158],"density":[55],"data":[57,67,84,89,98,107],"then":[59],"clusters":[60],"are":[61,79,121,165],"computed":[62],"accurately":[63],"by":[64],"mapping":[65],"to":[68,150,169],"high":[69,104],"dimensional":[70],"feature":[71],"space.":[72],"Performance":[73],"effectiveness":[75],"various":[77],"algorithms":[78,127],"evaluated":[80],"synthetic":[82],"2D":[83],"sets":[85],"such":[86,109,128],"as":[87,100,102,110,129],"Diamond":[88],"set":[90,99,108],"(D10,":[91],"D12,":[92],"D15),":[94],"noisy":[96],"Dunn":[97],"well":[101],"dimension":[105],"real-world":[106],"Fisher-Iris,":[111],"Wine,":[112],"Wisconsin":[114],"Breast":[115],"Cancer":[116],"Data-set.":[117],"Results":[118],"compared":[122],"with":[123],"results":[124],"other":[126],"Fuzzy-C-Means":[130],"(FCM),":[131],"FCM":[133,136,140],"(IFCM),":[134],"Kernel-Intuitionistic":[135],"(KIFCM),":[137],"density-oriented":[139],"(DOFCM),":[141],"found":[149],"be":[151],"superior":[152],"even":[153],"noise.":[160],"Key":[161],"advantages":[162],"robustness":[168],"noise,":[170],"accurate":[172],"centroid":[173],"computation.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}