{"id":"https://openalex.org/W3203418088","doi":"https://doi.org/10.1109/acit52158.2021.9548572","title":"Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function","display_name":"Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3203418088","doi":"https://doi.org/10.1109/acit52158.2021.9548572","mag":"3203418088"},"language":"en","primary_location":{"id":"doi:10.1109/acit52158.2021.9548572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit52158.2021.9548572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-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/A5088878184","display_name":"\u0410\u043b\u0456\u043d\u0430 \u0428\u0430\u0444\u0440\u043e\u043d\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0002-8040-0279"},"institutions":[{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Alina Shafronenko","raw_affiliation_strings":["Kharkov National University of Radio Electronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kharkov National University of Radio Electronics, Kharkov, Ukraine","institution_ids":["https://openalex.org/I8765205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059642629","display_name":"Yevgeniy Bodyanskiy","orcid":"https://orcid.org/0000-0001-5418-2143"},"institutions":[{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Yevgeniy Bodyanskiy","raw_affiliation_strings":["Scientific Control Systems Research Laboratory, Kharkov National University of Radio Electronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Scientific Control Systems Research Laboratory, Kharkov National University of Radio Electronics, Kharkov, Ukraine","institution_ids":["https://openalex.org/I8765205"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Irina Pliss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irina Pliss","raw_affiliation_strings":["Leading Researcher at Control Systems Research Laboratory, Kharkov National University of Radio Electronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Leading Researcher at Control Systems Research Laboratory, Kharkov National University of Radio Electronics, Kharkov, Ukraine","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061550401","display_name":"Klymova Irina","orcid":null},"institutions":[{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Klymova Irina","raw_affiliation_strings":["Kharkov National University of Radio Electronics, Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kharkov National University of Radio Electronics, Kharkov, Ukraine","institution_ids":["https://openalex.org/I8765205"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088878184"],"corresponding_institution_ids":["https://openalex.org/I8765205"],"apc_list":null,"apc_paid":null,"fwci":0.6999,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.767216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"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":0.9915000200271606,"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":0.9915000200271606,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9915000200271606,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8176345825195312},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6528319120407104},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.6201542019844055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5772526264190674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5419604778289795},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.5325704216957092},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4927568733692169},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.48482146859169006},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48102742433547974},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.44712361693382263},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42358189821243286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3778018057346344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3767912983894348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35739338397979736},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.35269302129745483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33838751912117004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08519935607910156}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8176345825195312},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6528319120407104},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.6201542019844055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5772526264190674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5419604778289795},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.5325704216957092},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4927568733692169},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.48482146859169006},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48102742433547974},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.44712361693382263},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42358189821243286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3778018057346344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3767912983894348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35739338397979736},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.35269302129745483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33838751912117004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08519935607910156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit52158.2021.9548572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit52158.2021.9548572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2399994188","https://openalex.org/W2962950941","https://openalex.org/W3026196763","https://openalex.org/W3089608577","https://openalex.org/W3107564929","https://openalex.org/W3110460435","https://openalex.org/W3119063890","https://openalex.org/W3119802761","https://openalex.org/W3127347166","https://openalex.org/W3132099624","https://openalex.org/W3135013162","https://openalex.org/W3143117593","https://openalex.org/W3145158775","https://openalex.org/W3161683959","https://openalex.org/W3164762012","https://openalex.org/W3169255791","https://openalex.org/W3169480818","https://openalex.org/W4250994051","https://openalex.org/W4254392301","https://openalex.org/W6712524872","https://openalex.org/W6796004701"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2373741815","https://openalex.org/W2556490192","https://openalex.org/W2389934482","https://openalex.org/W3071522575","https://openalex.org/W2358058270","https://openalex.org/W2797947728","https://openalex.org/W2352963450","https://openalex.org/W2374506950","https://openalex.org/W2399084168"],"abstract_inverted_index":{"The":[0],"problem":[1,26],"of":[2,5,12,23,27,39,57,62,84,87,95],"clustering":[3,76],"arrays":[4],"multidimensional":[6],"data,":[7],"given":[8],"in":[9,65,92],"the":[10,24,44,58,82,93],"form":[11],"feature":[13],"vectors,":[14],"sometimes":[15],"quite":[16],"large":[17,37,66],"dimensions":[18],"is":[19,72],"an":[20,55],"integral":[21],"part":[22],"overall":[25],"Data":[28],"Mining,":[29],"and":[30],"to":[31,48],"solve":[32],"it":[33],"currently":[34],"offers":[35],"a":[36,49],"number":[38],"approaches,":[40],"methods,":[41,77],"algorithms":[42],"from":[43],"simplest":[45],"type":[46],"K-means":[47],"rather":[50],"complex":[51],"ones":[52],"based":[53],"on":[54],"analysis":[56],"density":[59],"distribution":[60],"data":[61,96],"high":[63],"dimensionality":[64],"arrays.":[67],"A":[68],"special":[69],"place":[70],"here":[71],"occupied":[73],"by":[74],"fuzzy":[75],"which":[78,89],"are":[79,90],"synthesized":[80],"under":[81],"assumptions":[83],"mutual":[85],"intersection":[86],"classes,":[88],"formed":[91],"process":[94],"analysis.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}