{"id":"https://openalex.org/W2144859360","doi":"https://doi.org/10.1109/icmlc.2011.6016705","title":"Neural gas based cluster ensemble algorithm and its application to cancer data","display_name":"Neural gas based cluster ensemble algorithm and its application to cancer data","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2144859360","doi":"https://doi.org/10.1109/icmlc.2011.6016705","mag":"2144859360"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-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/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101802990","display_name":"Guihua Wen","orcid":"https://orcid.org/0000-0002-9709-1126"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihua Wen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100701158"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.1303,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53346709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7655142545700073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254410982131958},{"id":"https://openalex.org/keywords/neural-gas","display_name":"Neural gas","score":0.6201173663139343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5574098229408264},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5325253009796143},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.532039999961853},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5039858222007751},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49273303151130676},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48688068985939026},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4679502546787262},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4574403762817383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4477350115776062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37407612800598145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37347251176834106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3614479899406433},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1294940710067749}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7655142545700073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254410982131958},{"id":"https://openalex.org/C90322556","wikidata":"https://www.wikidata.org/wiki/Q1981169","display_name":"Neural gas","level":4,"score":0.6201173663139343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5574098229408264},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5325253009796143},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.532039999961853},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5039858222007751},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49273303151130676},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48688068985939026},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4679502546787262},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4574403762817383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4477350115776062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37407612800598145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37347251176834106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3614479899406433},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1294940710067749},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmlc.2011.6016705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/24656","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/24656","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1548779692","https://openalex.org/W1886306325","https://openalex.org/W1989076816","https://openalex.org/W2022756254","https://openalex.org/W2030644393","https://openalex.org/W2087684630","https://openalex.org/W2097413644","https://openalex.org/W2107208924","https://openalex.org/W2109363337","https://openalex.org/W2122275336","https://openalex.org/W2122644269","https://openalex.org/W2137644062","https://openalex.org/W2138218344","https://openalex.org/W2147246240","https://openalex.org/W2149739421","https://openalex.org/W2157769990","https://openalex.org/W2166322089","https://openalex.org/W2316811577","https://openalex.org/W2999729612"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"The":[0,124],"cluster":[1,30,39,147],"ensemble":[2,31,40,148],"approach":[3,32],"is":[4],"gaining":[5],"more":[6,8],"and":[7,20,96,119],"attention":[9],"in":[10,18,126],"recent":[11],"years":[12],"due":[13],"to":[14,56,66,72,111,152],"its":[15],"useful":[16],"applications":[17],"bioinformatics":[19],"pattern":[21],"recognition.":[22],"In":[23,81],"this":[24],"paper,":[25],"we":[26],"present":[27],"a":[28,58,98],"new":[29,61,94,99,117],"named":[33],"as":[34,92,108],"the":[35,53,68,74,78,82,86,93,104,116,121,145],"neural":[36,69,105],"gas":[37,70,106],"based":[38],"algorithm":[41,71,107],"(NGCEA)":[42],"for":[43],"class":[44],"discovery":[45],"from":[46,77],"biological":[47],"meaningful":[48],"data,":[49],"NGCEA":[50,84,132,141],"first":[51],"adopts":[52,103],"perturbed":[54,79],"function":[55,110],"generate":[57],"set":[59],"of":[60,88,137,144],"datasets.":[62],"Then,":[63],"it":[64,102],"proposes":[65],"adopt":[67],"obtain":[73],"clustering":[75,90,113],"solutions":[76],"datasets,":[80],"following,":[83],"views":[85],"row":[87],"each":[89],"solution":[91],"features,":[95],"forms":[97],"dataset.":[100],"Finally,":[101],"consensus":[109],"perform":[112],"again":[114],"on":[115,135],"dataset":[118],"obtains":[120],"final":[122],"result.":[123],"experiments":[125],"cancer":[127,138],"datasets":[128,139],"show":[129],"that":[130],"(i)":[131],"works":[133],"well":[134],"most":[136,143],"(ii)":[140],"outperforms":[142],"state-of-the-art":[146],"algorithms":[149],"when":[150],"applied":[151],"gene":[153],"expression":[154],"data.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}