{"id":"https://openalex.org/W1974543614","doi":"https://doi.org/10.1109/cybconf.2013.6617429","title":"Consensus-based cluster merging for the prototype selection","display_name":"Consensus-based cluster merging for the prototype selection","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1974543614","doi":"https://doi.org/10.1109/cybconf.2013.6617429","mag":"1974543614"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2013.6617429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042454628","display_name":"Ireneusz Czarnowski","orcid":"https://orcid.org/0000-0003-0867-3114"},"institutions":[{"id":"https://openalex.org/I4210125238","display_name":"Gdynia Maritime University","ror":"https://ror.org/02vscf791","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210125238"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ireneusz Czarnowski","raw_affiliation_strings":["Department of Information Systems, Gdynia Maritime University, Gdynia, Poland","Dept. of Inf. Syst., Gdynia Maritime Univ., Gdynia, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Gdynia Maritime University, Gdynia, Poland","institution_ids":["https://openalex.org/I4210125238"]},{"raw_affiliation_string":"Dept. of Inf. Syst., Gdynia Maritime Univ., Gdynia, Poland","institution_ids":["https://openalex.org/I4210125238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069454823","display_name":"Piotr J\u0119drzejowicz","orcid":"https://orcid.org/0000-0001-6104-1381"},"institutions":[{"id":"https://openalex.org/I4210125238","display_name":"Gdynia Maritime University","ror":"https://ror.org/02vscf791","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210125238"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Jedrzejowicz","raw_affiliation_strings":["Department of Information Systems, Gdynia Maritime University, Gdynia, Poland","Dept. of Inf. Syst., Gdynia Maritime Univ., Gdynia, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Gdynia Maritime University, Gdynia, Poland","institution_ids":["https://openalex.org/I4210125238"]},{"raw_affiliation_string":"Dept. of Inf. Syst., Gdynia Maritime Univ., Gdynia, Poland","institution_ids":["https://openalex.org/I4210125238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210125238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0657979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"98","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T12535","display_name":"Machine Learning and Data Classification","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/T12072","display_name":"Machine Learning and Algorithms","score":0.9937999844551086,"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":0.993399977684021,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7928823828697205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7906550765037537},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.720497727394104},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6914751529693604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5557954907417297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48291704058647156},{"id":"https://openalex.org/keywords/cluster-size","display_name":"Cluster size","score":0.45897358655929565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44951653480529785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.072747141122818}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7928823828697205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906550765037537},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.720497727394104},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6914751529693604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5557954907417297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48291704058647156},{"id":"https://openalex.org/C3017540586","wikidata":"https://www.wikidata.org/wiki/Q612728","display_name":"Cluster size","level":3,"score":0.45897358655929565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44951653480529785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.072747141122818},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86025842","wikidata":"https://www.wikidata.org/wiki/Q5358432","display_name":"Electronic structure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2013.6617429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W7721922","https://openalex.org/W14890737","https://openalex.org/W89160516","https://openalex.org/W1488166325","https://openalex.org/W1521412320","https://openalex.org/W1521591484","https://openalex.org/W1535979681","https://openalex.org/W1585569396","https://openalex.org/W1598212952","https://openalex.org/W1599298370","https://openalex.org/W1965850651","https://openalex.org/W1994410331","https://openalex.org/W2015725886","https://openalex.org/W2069755498","https://openalex.org/W2092353981","https://openalex.org/W2109011280","https://openalex.org/W2111696212","https://openalex.org/W2122496402","https://openalex.org/W2125903555","https://openalex.org/W2133462743","https://openalex.org/W2163634979","https://openalex.org/W3120740533","https://openalex.org/W6600599744","https://openalex.org/W6632077003","https://openalex.org/W6635693360","https://openalex.org/W6676886661"],"related_works":["https://openalex.org/W2389015757","https://openalex.org/W2085616392","https://openalex.org/W2040069618","https://openalex.org/W2033975139","https://openalex.org/W1529970284","https://openalex.org/W1970629801","https://openalex.org/W2071129418","https://openalex.org/W2081728940","https://openalex.org/W1988111539","https://openalex.org/W1998779668"],"abstract_inverted_index":{"The":[0,39,127],"aim":[1],"of":[2,19,30,70,79,89,96,103,132,141],"the":[3,20,31,35,43,48,55,77,87,90,94,99,104,130,139,142],"paper":[4,128],"is":[5,25,46,51],"to":[6,13,109,137],"propose":[7],"and":[8,63,135],"evaluate":[9],"a":[10,15,28,83,124,147],"hybrid":[11],"approach":[12],"generate":[14],"representative":[16,32],"training":[17,37,56,105],"dataset":[18,57],"required":[21,100],"size.":[22],"Prototype":[23],"selection":[24,29,50],"understood":[26],"as":[27],"prototypes":[33,65],"from":[34,68],"original":[36],"dataset.":[38,92],"basic":[40],"assumptions":[41,76],"underlying":[42],"proposed":[44],"method":[45],"that":[47,64],"prototype":[49],"carried":[52],"out":[53],"after":[54],"has":[58,82],"been":[59],"grouped":[60],"into":[61],"clusters,":[62],"are":[66],"selected":[67],"each":[69],"thus":[71],"obtained":[72],"clusters.":[73],"Under":[74],"these":[75],"number":[78,95],"clusters":[80,97,107,122],"produced":[81],"direct":[84],"influence":[85],"on":[86],"size":[88,102],"reduced":[91],"When":[93],"exceeds":[98],"final":[101],"dataset,":[106],"need":[108],"be":[110,116],"merged.":[111],"Clusters":[112],"merging":[113,134],"may":[114],"not":[115],"an":[117],"easy":[118],"task":[119],"in":[120],"case":[121],"have":[123],"heterogeneous":[125],"structure.":[126],"considers":[129],"problem":[131,140],"cluster":[133,143],"proposes":[136],"eliminate":[138],"heterogeneity":[144],"through":[145],"reaching":[146],"consensus-based":[148],"solution.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
