{"id":"https://openalex.org/W4285413821","doi":"https://doi.org/10.5220/0011275000003269","title":"Estimating the Optimal Number of Clusters from Subsets of Ensembles","display_name":"Estimating the Optimal Number of Clusters from Subsets of Ensembles","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285413821","doi":"https://doi.org/10.5220/0011275000003269"},"language":"en","primary_location":{"id":"doi:10.5220/0011275000003269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0011275000003269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0011275000003269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072259624","display_name":"Afees Odebode","orcid":"https://orcid.org/0009-0003-2906-338X"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Afees Odebode","raw_affiliation_strings":["Brunel University, London, U.K, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Brunel University, London, U.K, --- Select a Country ---","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004397914","display_name":"Allan Tucker","orcid":"https://orcid.org/0000-0001-5105-3506"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Allan Tucker","raw_affiliation_strings":["Brunel University, London, U.K, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Brunel University, London, U.K, --- Select a Country ---","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077607362","display_name":"Mahir Arzoky","orcid":null},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahir Arzoky","raw_affiliation_strings":["Brunel University, London, U.K, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Brunel University, London, U.K, --- Select a Country ---","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109580466","display_name":"Stepehen Swift","orcid":null},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stepehen Swift","raw_affiliation_strings":["Brunel University, London, U.K, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Brunel University, London, U.K, --- Select a Country ---","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072259624"],"corresponding_institution_ids":["https://openalex.org/I59433898"],"apc_list":null,"apc_paid":null,"fwci":0.1379,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53406804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9937000274658203,"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":0.781428337097168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.625228762626648},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5522977709770203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49111101031303406},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4635521471500397},{"id":"https://openalex.org/keywords/gray-code","display_name":"Gray code","score":0.41041749715805054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39547818899154663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36711204051971436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33529049158096313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27182406187057495},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.18324682116508484}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.781428337097168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625228762626648},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5522977709770203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49111101031303406},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4635521471500397},{"id":"https://openalex.org/C129861397","wikidata":"https://www.wikidata.org/wiki/Q332772","display_name":"Gray code","level":2,"score":0.41041749715805054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39547818899154663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36711204051971436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33529049158096313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27182406187057495},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.18324682116508484},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0011275000003269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0011275000003269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/26041","is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/26041","pdf_url":"http://bura.brunel.ac.uk/bitstream/2438/26041/1/FullText.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"11th International Conference on Data Science, Technology and Applications","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"doi:10.5220/0011275000003269","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0011275000003269","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1498782169","https://openalex.org/W1585610988","https://openalex.org/W1967761844","https://openalex.org/W1987971958","https://openalex.org/W2011435951","https://openalex.org/W2039934205","https://openalex.org/W2046025323","https://openalex.org/W2049814849","https://openalex.org/W2058307353","https://openalex.org/W2121371800","https://openalex.org/W2303931467","https://openalex.org/W2884586244","https://openalex.org/W2900027528","https://openalex.org/W3003752967","https://openalex.org/W3103446357","https://openalex.org/W3120740533","https://openalex.org/W4234034778","https://openalex.org/W4242401062","https://openalex.org/W4243306052"],"related_works":["https://openalex.org/W2062382636","https://openalex.org/W436631138","https://openalex.org/W4298130764","https://openalex.org/W2047950482","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W130515148","https://openalex.org/W2039074032"],"abstract_inverted_index":{"This":[0],"research":[1],"estimates":[2],"the":[3,23,68,88,103,106,114,118,125,130,143,157],"optimal":[4],"number":[5,107,126],"of":[6,25,54,79,92,108,117,127,146,156],"clusters":[7,109],"in":[8,105,151,154],"a":[9,12,17,26,37,63],"dataset":[10],"using":[11,62],"novel":[13],"ensemble":[14],"technique":[15],"-":[16],"preferred":[18],"alternative":[19],"to":[20,36,66,86,113],"relying":[21],"on":[22,75,142],"output":[24],"single":[27,47],"clustering.":[28],"Combining":[29],"clusterings":[30],"from":[31],"different":[32],"algorithms":[33],"can":[34],"lead":[35],"more":[38],"stable":[39],"and":[40,59,83,90],"robust":[41],"solution,":[42],"often":[43],"unattainable":[44],"by":[45],"any":[46],"clustering":[48,84],"solution.":[49],"Technically,":[50],"we":[51,135],"created":[52],"subsets":[53],"ensembles":[55,128],"as":[56,124],"possible":[57],"estimates;":[58],"evaluated":[60],"them":[61],"quality":[64],"metric":[65],"obtain":[67],"best":[69],"subset.":[70],"We":[71],"tested":[72],"our":[73,93],"method":[74,100],"publicly":[76],"available":[77],"datasets":[78],"varying":[80],"types,":[81],"sources":[82],"difficulty":[85],"establish":[87],"accuracy":[89],"performance":[91],"approach":[94],"against":[95],"eight":[96],"standard":[97],"methods.":[98],"Our":[99],"outperforms":[101],"all":[102],"techniques":[104],"estimated":[110],"correctly.":[111],"Due":[112],"exhaustive":[115],"nature":[116],"initial":[119],"algorithm,":[120],"it":[121],"is":[122],"slow":[123],"or":[129],"solution":[131],"space":[132],"increases;":[133],"hence,":[134],"have":[136],"provided":[137],"an":[138],"updated":[139],"version":[140],"based":[141],"single-digit":[144],"difference":[145],"Gray":[147],"code":[148],"that":[149],"runs":[150],"linear":[152],"time":[153],"terms":[155],"subset":[158],"size.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
