{"id":"https://openalex.org/W1152304712","doi":"https://doi.org/10.3233/ifs-141518","title":"A hierarchical fuzzy cluster ensemble approach and its application to big data clustering","display_name":"A hierarchical fuzzy cluster ensemble approach and its application to big data clustering","publication_year":2015,"publication_date":"2015-08-10","ids":{"openalex":"https://openalex.org/W1152304712","doi":"https://doi.org/10.3233/ifs-141518","mag":"1152304712"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-141518","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141518","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/A5052907741","display_name":"Su Pan","orcid":"https://orcid.org/0000-0002-0590-9227"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pan Su","raw_affiliation_strings":["Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039652471","display_name":"Changjing Shang","orcid":"https://orcid.org/0000-0001-6375-6276"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Changjing Shang","raw_affiliation_strings":["Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039652471"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":7.105,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96842857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"28","issue":"6","first_page":"2409","last_page":"2421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9948999881744385,"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":0.7779375314712524},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7346329689025879},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7140434384346008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751631498336792},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5514814853668213},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5480794906616211},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.5257031917572021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47883084416389465},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.46994641423225403},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4265121817588806},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.42633256316185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.392183393239975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3632451295852661}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7779375314712524},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7346329689025879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7140434384346008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751631498336792},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5514814853668213},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5480794906616211},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5257031917572021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47883084416389465},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.46994641423225403},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4265121817588806},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.42633256316185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.392183393239975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3632451295852661}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ifs-141518","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141518","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"},{"id":"pmh:oai:aber.ac.uk:publications/af4f7e98-baad-4e28-ba51-d3bccb10db78","is_oa":false,"landing_page_url":"https://pure.aber.ac.uk/portal/en/publications/a-hierarchical-fuzzy-cluster-ensemble-approach-and-its-application-to-big-data-clustering(af4f7e98-baad-4e28-ba51-d3bccb10db78).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401660","display_name":"Aberystwyth Research portal (Aberystwyth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I16038530","host_organization_name":"Aberystwyth University","host_organization_lineage":["https://openalex.org/I16038530"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320032","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W104074713","https://openalex.org/W108464071","https://openalex.org/W1537440443","https://openalex.org/W1963847195","https://openalex.org/W1967761844","https://openalex.org/W1974334076","https://openalex.org/W1975827585","https://openalex.org/W1976568795","https://openalex.org/W1982635649","https://openalex.org/W1992419399","https://openalex.org/W1995450389","https://openalex.org/W1998871699","https://openalex.org/W1999501864","https://openalex.org/W2004748427","https://openalex.org/W2024975721","https://openalex.org/W2025183498","https://openalex.org/W2027499598","https://openalex.org/W2031574473","https://openalex.org/W2037183202","https://openalex.org/W2041328702","https://openalex.org/W2049631158","https://openalex.org/W2049633694","https://openalex.org/W2073678701","https://openalex.org/W2078174680","https://openalex.org/W2079867206","https://openalex.org/W2089782020","https://openalex.org/W2092420848","https://openalex.org/W2094381401","https://openalex.org/W2097406622","https://openalex.org/W2109335275","https://openalex.org/W2111171370","https://openalex.org/W2115346774","https://openalex.org/W2116984363","https://openalex.org/W2122644269","https://openalex.org/W2126150009","https://openalex.org/W2126626732","https://openalex.org/W2139280638","https://openalex.org/W2169446650","https://openalex.org/W2294414050","https://openalex.org/W3149926705","https://openalex.org/W4285719527","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2384052049","https://openalex.org/W2367205823","https://openalex.org/W4220814143","https://openalex.org/W2087424554","https://openalex.org/W2406185607","https://openalex.org/W4231226332","https://openalex.org/W4230655713","https://openalex.org/W2139280638","https://openalex.org/W2071000654","https://openalex.org/W2159372536"],"abstract_inverted_index":{"Abstract":[0],"Cluster":[1],"ensembles":[2,57,186],"organically":[3],"integrate":[4],"individual":[5],"component":[6],"methods":[7,172],"which":[8,17],"may":[9,18],"utilise":[10],"different":[11,26],"parameter":[12],"settings":[13],"and":[14,16,28,51,61,108,131,138,159,187],"features,":[15],"themselves":[19],"be":[20,87],"generated":[21],"on":[22,173],"the":[23,47,67,117,120,125,154,206],"basis":[24],"of":[25,91,194],"representations":[27],"learning":[29],"mechanisms.":[30],"Such":[31],"a":[32,111],"technique":[33],"offers":[34],"an":[35,84],"effective":[36],"means":[37],"for":[38,80,89,208],"aggregating":[39],"multiple":[40],"clustering":[41,49,90,133,165,171,211],"results":[42,63,178],"in":[43,66,134,192,196,210],"order":[44],"to":[45,86,104,115,145],"improve":[46],"overall":[48],"accuracy":[50,195],"robustness.":[52],"Many":[53],"topics":[54],"regarding":[55],"cluster":[56,77,137,185],"have":[58],"been":[59],"proposed":[60,95],"promising":[62],"are":[64],"gained":[65],"literature.":[68],"To":[69],"reinforce":[70],"such":[71],"development,":[72],"this":[73],"paper":[74],"presents":[75],"another":[76],"ensemble":[78,164],"approach":[79],"fuzzy":[81,99,112,128,156],"clustering,":[82,191],"with":[83,102,198],"aim":[85],"applied":[88,144],"big":[92,212],"data.":[93,213],"The":[94,162],"algorithm":[96],"first":[97],"generates":[98],"base":[100,122,136],"clusters":[101],"respect":[103],"each":[105],"data":[106],"feature":[107],"then,":[109],"employs":[110,127],"hierarchical":[113,132,160],"graph":[114],"represent":[116],"relationships":[118],"between":[119],"resulting":[121],"clusters.":[123],"Whilst":[124],"work":[126],"c":[129,157],"-means":[130,158],"generating":[135],"implementing":[139],"consensus":[140],"function":[141],"respectively,":[142],"when":[143],"large":[146],"datasets":[147],"it":[148,181,204],"has":[149,205],"lower":[150],"time":[151,199],"complexity":[152],"than":[153],"original":[155],"clustering.":[161],"resultant":[163],"mechanism":[166],"is":[167],"tested":[168],"against":[169],"traditional":[170],"various":[174],"benchmark":[175],"datasets.":[176],"Experimental":[177],"demonstrate":[179],"that":[180,203],"generally":[182],"outperforms":[183],"crisp":[184],"single":[188],"linkage":[189],"agglomerative":[190],"terms":[193],"conjunction":[197],"efficiency,":[200],"thereby":[201],"showing":[202],"potential":[207],"application":[209]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-02-11T14:41:00.668223","created_date":"2025-10-10T00:00:00"}