{"id":"https://openalex.org/W3127440297","doi":"https://doi.org/10.1109/access.2021.3057405","title":"Three-Way Clustering Method Based on Stability Theory","display_name":"Three-Way Clustering Method Based on Stability Theory","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127440297","doi":"https://doi.org/10.1109/access.2021.3057405","mag":"3127440297"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3057405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348914.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003922614","display_name":"Pingxin Wang","orcid":"https://orcid.org/0000-0002-1290-6112"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]},{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingxin Wang","raw_affiliation_strings":["College of Mathematics Science, Hebei Normal University, Shijiazhuang, China","School of Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1290-6112","affiliations":[{"raw_affiliation_string":"College of Mathematics Science, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]},{"raw_affiliation_string":"School of Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030350248","display_name":"Xibei Yang","orcid":"https://orcid.org/0000-0001-9708-1027"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibei Yang","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4743,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93252262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"33944","last_page":"33953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9670000076293945,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9527000188827515,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.816523015499115},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6678611636161804},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6246665716171265},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6113658547401428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324441194534302},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4623853266239166},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.46111392974853516},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4439881443977356},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.41485071182250977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3914300203323364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36662960052490234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.348649263381958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3036644458770752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2951086759567261},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.26885348558425903},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1629718840122223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1352345049381256},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10624364018440247}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.816523015499115},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6678611636161804},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6246665716171265},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6113658547401428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324441194534302},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4623853266239166},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.46111392974853516},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4439881443977356},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.41485071182250977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3914300203323364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36662960052490234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.348649263381958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3036644458770752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2951086759567261},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.26885348558425903},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1629718840122223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1352345049381256},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10624364018440247},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3057405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a435a87b6d7348aebd80abc85937d66e","is_oa":true,"landing_page_url":"https://doaj.org/article/a435a87b6d7348aebd80abc85937d66e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 33944-33953 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3057405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3574487451","display_name":null,"funder_award_id":"15KJB110004","funder_id":"https://openalex.org/F4320335440","funder_display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China"},{"id":"https://openalex.org/G4492961534","display_name":"\u57fa\u4e8e\u591a\u7c92\u5ea6\u4fe1\u606f\u7c92\u5316\u7684\u6570\u636e\u5206\u6790\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"61572242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5193397020","display_name":null,"funder_award_id":"61503160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G640233089","display_name":null,"funder_award_id":"62076111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7870602786","display_name":null,"funder_award_id":"15KJB110004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335440","display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3127440297.pdf","grobid_xml":"https://content.openalex.org/works/W3127440297.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W101345952","https://openalex.org/W1041128124","https://openalex.org/W1533530351","https://openalex.org/W1557923305","https://openalex.org/W1560265110","https://openalex.org/W1587744656","https://openalex.org/W1648123822","https://openalex.org/W1979092190","https://openalex.org/W1987149779","https://openalex.org/W1987971958","https://openalex.org/W1990063425","https://openalex.org/W2002278745","https://openalex.org/W2029526940","https://openalex.org/W2035374712","https://openalex.org/W2036789112","https://openalex.org/W2050237791","https://openalex.org/W2070813883","https://openalex.org/W2080404663","https://openalex.org/W2083560394","https://openalex.org/W2084718108","https://openalex.org/W2086479834","https://openalex.org/W2103535650","https://openalex.org/W2104603069","https://openalex.org/W2108323654","https://openalex.org/W2111171370","https://openalex.org/W2113076747","https://openalex.org/W2122491887","https://openalex.org/W2127218421","https://openalex.org/W2133059825","https://openalex.org/W2139280638","https://openalex.org/W2143451122","https://openalex.org/W2144709747","https://openalex.org/W2153233077","https://openalex.org/W2153676086","https://openalex.org/W2158633287","https://openalex.org/W2171975443","https://openalex.org/W2185939569","https://openalex.org/W2199918042","https://openalex.org/W2200382070","https://openalex.org/W2261233885","https://openalex.org/W2297889545","https://openalex.org/W2345465422","https://openalex.org/W2475810011","https://openalex.org/W2497439958","https://openalex.org/W2512066509","https://openalex.org/W2557776595","https://openalex.org/W2580984945","https://openalex.org/W2612154405","https://openalex.org/W2707976390","https://openalex.org/W2716026328","https://openalex.org/W2737801118","https://openalex.org/W2789010601","https://openalex.org/W2792234535","https://openalex.org/W2794504349","https://openalex.org/W2801314826","https://openalex.org/W2892294644","https://openalex.org/W2907098052","https://openalex.org/W2911942613","https://openalex.org/W3025379803","https://openalex.org/W3101747232","https://openalex.org/W3120740533","https://openalex.org/W3121976317","https://openalex.org/W4230741605","https://openalex.org/W4285719527","https://openalex.org/W6633397205","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W1547125942","https://openalex.org/W2945382830","https://openalex.org/W2625388113","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2000612978","https://openalex.org/W2382432689","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Two-way":[0],"clustering":[1,22,72,91,110],"algorithms":[2],"use":[3,105],"one":[4],"single":[5],"set":[6,107],"to":[7,31,43,74,114,143],"represent":[8],"a":[9,19,33,51,54,89,106,144,197],"cluster,":[10,34],"which":[11,35],"cannot":[12],"intuitively":[13],"show":[14,213],"the":[15,24,28,37,45,67,76,79,95,101,116,121,130,135,139,155,164,175,181,190,201,215],"fringe":[16,29,80,141,177,191],"objects":[17],"of":[18,48,66,70,81,97,108,167,193,200],"cluster.":[20,83,195],"Three-way":[21],"uses":[23],"core":[25,77,137,151,165],"region":[26,30,166,192],"and":[27,53,61,78,124,138,160,186],"describe":[32],"divide":[36],"universe":[38,131,136,140,150,176],"into":[39,134,163,189],"three":[40,46],"disjoint":[41],"sets":[42,212],"capture":[44],"types":[47],"relationships":[49],"between":[50],"cluster":[52,169,202,222],"sample,":[55],"namely,":[56],"belong-to":[57,59,63],"fully,":[58],"partially":[60],"not":[62],"fully.":[64],"One":[65],"main":[68],"problems":[69],"three-way":[71,90,198],"is":[73,132,152,161,178,187,203,218],"construct":[75],"each":[82,98,168,194],"In":[84,100],"this":[85,128],"paper,":[86],"we":[87,104],"propose":[88],"algorithm":[92,217],"by":[93,119,154,170,180],"using":[94,120,171],"stability":[96,118,159,185],"sample.":[99],"proposed":[102,216],"algorithm,":[103],"base":[109],"results":[111,208],"as":[112],"inputs":[113],"obtain":[115],"samples'":[117],"co-association":[122],"matrix":[123],"determinacy":[125],"function.":[126],"With":[127],"stability,":[129],"divided":[133,162],"according":[142],"threshold":[145],"for":[146],"sample's":[147],"stability.":[148],"The":[149,206],"constituted":[153,179],"samples":[156,182],"with":[157,183],"high":[158],"kmeans":[172],"algorithm.":[173],"Whereas":[174],"low":[184],"assigned":[188],"Therefore,":[196],"explanation":[199],"naturally":[204],"formed.":[205],"experimental":[207],"on":[209],"UCI":[210],"data":[211],"that":[214],"effective":[219],"in":[220],"revealing":[221],"structures.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
