{"id":"https://openalex.org/W3004603144","doi":"https://doi.org/10.3906/elk-1903-118","title":"Fuzzy c-Means Directional Clustering (FCMDC) algorithm using trigonometric approximation","display_name":"Fuzzy c-Means Directional Clustering (FCMDC) algorithm using trigonometric approximation","publication_year":2019,"publication_date":"2019-08-10","ids":{"openalex":"https://openalex.org/W3004603144","doi":"https://doi.org/10.3906/elk-1903-118","mag":"3004603144"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1903-118","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1903-118","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","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/A5024510213","display_name":"Orhan Kesemen","orcid":"https://orcid.org/0000-0002-5160-1178"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Orhan KESEMEN","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089402467","display_name":"\u00d6zge Tezel","orcid":"https://orcid.org/0000-0003-2815-686X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00d6zge TEZEL","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074046305","display_name":"Eda \u00d6zkul","orcid":"https://orcid.org/0000-0002-9840-8818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eda \u00d6ZKUL","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074240407","display_name":"Bu\u011fra Kaan Tiryaki","orcid":"https://orcid.org/0000-0003-0995-7389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bu\u011fra Kaan T\u0130RYAK\u0130","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024510213"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67706541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":"1","first_page":"140","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9854000210762024,"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":0.9854000210762024,"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":0.9527999758720398,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8384766578674316},{"id":"https://openalex.org/keywords/trigonometry","display_name":"Trigonometry","score":0.6643959283828735},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6300618648529053},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5302742719650269},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.5269975066184998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48959141969680786},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48660314083099365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45335519313812256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43253687024116516},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.33768031001091003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2455340027809143}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8384766578674316},{"id":"https://openalex.org/C29001434","wikidata":"https://www.wikidata.org/wiki/Q8084","display_name":"Trigonometry","level":2,"score":0.6643959283828735},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6300618648529053},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5302742719650269},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.5269975066184998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48959141969680786},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48660314083099365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45335519313812256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43253687024116516},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.33768031001091003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2455340027809143},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3906/elk-1903-118","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1903-118","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2596632494","https://openalex.org/W4224807364","https://openalex.org/W1547125942","https://openalex.org/W2625388113","https://openalex.org/W2393816671","https://openalex.org/W2896827084","https://openalex.org/W2367377022","https://openalex.org/W3113302101","https://openalex.org/W4312412183","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Cluster":[0],"analysis":[1,10],"is":[2,11,44,52],"widely":[3],"used":[4,53],"in":[5],"data":[6,9,20,76,89],"analysis.":[7],"Statistical":[8],"generally":[12],"performed":[13],"on":[14,46,84],"the":[15,19,66,78,92,102,109,113,116,121],"linear":[16],"data.":[17,62],"If":[18],"has":[21],"directional":[22,40,61,75,105],"structure,":[23],"classical":[24],"statistical":[25],"methods":[26],"cannot":[27],"be":[28],"applied":[29],"directly":[30],"to":[31,36],"it.":[32],"This":[33],"study":[34],"aims":[35],"improve":[37],"a":[38],"new":[39],"clustering":[41,59,68,106],"algorithm":[42,107],"which":[43],"based":[45],"trigonometric":[47,50],"approximation.":[48],"The":[49],"approximation":[51],"for":[54,74,124],"both":[55],"descriptive":[56],"statistics":[57],"and":[58,71,77,87,91,120],"of":[60,115],"In":[63],"this":[64],"paper,":[65],"fuzzy":[67,103],"algorithms":[69],"(FCD":[70],"FCM4DD)":[72],"improved":[73],"proposed":[79],"method":[80],"are":[81,95],"carried":[82],"out":[83],"some":[85],"numerical":[86],"real":[88],"examples,":[90],"simulation":[93],"results":[94,99,111],"presented.":[96],"Consequently,":[97],"these":[98],"indicate":[100],"that":[101],"c-means":[104],"gives":[108],"better":[110],"from":[112],"points":[114],"mean":[117],"square":[118],"error":[119],"standard":[122],"deviation":[123],"cluster":[125],"centers.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}