{"id":"https://openalex.org/W2594680941","doi":"https://doi.org/10.1109/tnnls.2016.2619061","title":"Simultaneous Bayesian Clustering and Feature Selection Through Student\u2019s ${t}$ Mixtures Model","display_name":"Simultaneous Bayesian Clustering and Feature Selection Through Student\u2019s ${t}$ Mixtures Model","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2594680941","doi":"https://doi.org/10.1109/tnnls.2016.2619061","mag":"2594680941","pmid":"https://pubmed.ncbi.nlm.nih.gov/28362615"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2619061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2619061","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://napier-repository.worktribe.com/preview/1541041/17655%20KEATES_Simulatenous_Bayesian_Clustering_2017.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005474942","display_name":"Jianyong Sun","orcid":"https://orcid.org/0000-0002-9188-1856"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jianyong Sun","raw_affiliation_strings":["School of Computer Science, University of Essex, Colchester, U.K","School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9188-1856","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050248676","display_name":"Aimin Zhou","orcid":"https://orcid.org/0000-0002-4768-5946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053603427","display_name":"Simeon Keates","orcid":"https://orcid.org/0000-0002-2826-672X"},"institutions":[{"id":"https://openalex.org/I55060895","display_name":"University of Greenwich","ror":"https://ror.org/00bmj0a71","country_code":"GB","type":"education","lineage":["https://openalex.org/I55060895"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simeon Keates","raw_affiliation_strings":["Faculty of Engineering and Science, University of Greenwich, Kent, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Science, University of Greenwich, Kent, U.K","institution_ids":["https://openalex.org/I55060895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086986505","display_name":"Shengbin Liao","orcid":"https://orcid.org/0000-0001-6431-7566"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbin Liao","raw_affiliation_strings":["National Engineering Research Centre for E-Learning, Huazhong Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Centre for E-Learning, Huazhong Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1901,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93400257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":"4","first_page":"1187","last_page":"1199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987000226974487,"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":0.967199981212616,"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":0.7062135934829712},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.652917742729187},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.6438518762588501},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5648407340049744},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.544640302658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4878968894481659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47213536500930786},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4296228587627411},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4219232499599457},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4103316366672516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3786901831626892},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3278501033782959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32194554805755615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.276991605758667},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07329043745994568}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7062135934829712},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.652917742729187},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.6438518762588501},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5648407340049744},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.544640302658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4878968894481659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47213536500930786},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4296228587627411},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4219232499599457},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4103316366672516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3786901831626892},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3278501033782959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32194554805755615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.276991605758667},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07329043745994568},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2016.2619061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2619061","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28362615","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28362615","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:gala.gre.ac.uk:17655","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401244","display_name":"Greenwich Academic Literature Archive (University of Greenwich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55060895","host_organization_name":"University of Greenwich","host_organization_lineage":["https://openalex.org/I55060895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},{"id":"pmh:oai:repository@napier.ac.uk:1497230","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/1497230","pdf_url":"https://napier-repository.worktribe.com/preview/1541041/17655%20KEATES_Simulatenous_Bayesian_Clustering_2017.pdf","source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:napier-surface.worktribe.com:1497230","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/1497230/1/Simultaneous%20Bayesian%20Clustering...","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:repository@napier.ac.uk:1497230","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/1497230","pdf_url":"https://napier-repository.worktribe.com/preview/1541041/17655%20KEATES_Simulatenous_Bayesian_Clustering_2017.pdf","source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4471139229","display_name":null,"funder_award_id":"11301494","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G501077914","display_name":null,"funder_award_id":"61673180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5130501135","display_name":null,"funder_award_id":"61573326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334453846","display_name":null,"funder_award_id":"61573279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2594680941.pdf","grobid_xml":"https://content.openalex.org/works/W2594680941.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W12820539","https://openalex.org/W132730096","https://openalex.org/W141062567","https://openalex.org/W1579271636","https://openalex.org/W1661871015","https://openalex.org/W1663973292","https://openalex.org/W1723619723","https://openalex.org/W1826065584","https://openalex.org/W1970672441","https://openalex.org/W1973727087","https://openalex.org/W1983704480","https://openalex.org/W1984750827","https://openalex.org/W2004915807","https://openalex.org/W2007877577","https://openalex.org/W2009501510","https://openalex.org/W2019271078","https://openalex.org/W2047735307","https://openalex.org/W2052164429","https://openalex.org/W2061480162","https://openalex.org/W2070184756","https://openalex.org/W2075181706","https://openalex.org/W2076363162","https://openalex.org/W2084028080","https://openalex.org/W2095390342","https://openalex.org/W2099322651","https://openalex.org/W2108435369","https://openalex.org/W2112225422","https://openalex.org/W2114447088","https://openalex.org/W2120000263","https://openalex.org/W2121238376","https://openalex.org/W2121410881","https://openalex.org/W2126067639","https://openalex.org/W2126185804","https://openalex.org/W2127498532","https://openalex.org/W2132379769","https://openalex.org/W2132549764","https://openalex.org/W2138218344","https://openalex.org/W2139893627","https://openalex.org/W2149620660","https://openalex.org/W2150988277","https://openalex.org/W2158933803","https://openalex.org/W2163628009","https://openalex.org/W2164723873","https://openalex.org/W2168901348","https://openalex.org/W2170410701","https://openalex.org/W2171837816","https://openalex.org/W2249670697","https://openalex.org/W2257217404","https://openalex.org/W2280737108","https://openalex.org/W2335437633","https://openalex.org/W2425246132","https://openalex.org/W2461933982","https://openalex.org/W2488678869","https://openalex.org/W6605304304","https://openalex.org/W6605792473","https://openalex.org/W6636914306","https://openalex.org/W6674952872","https://openalex.org/W6676358527","https://openalex.org/W6681822384","https://openalex.org/W6691104258","https://openalex.org/W6989608147"],"related_works":["https://openalex.org/W2025931908","https://openalex.org/W1998035802","https://openalex.org/W3159703654","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"proposed":[4],"a":[5,27,62,82],"generative":[6],"model":[7,17,52,65,94,98,107],"for":[8,53],"feature":[9,72,134],"selection":[10,135],"under":[11],"the":[12,36,45,51,54,57,64,93,105,112,123,144,147,163],"unsupervised":[13,130],"learning":[14],"context.":[15],"The":[16],"assumes":[18],"that":[19,43,104,122,157],"data":[20,113,141,155],"are":[21,48],"independently":[22],"and":[23,74,139],"identically":[24],"sampled":[25],"from":[26],"finite":[28],"mixture":[29],"of":[30,56,59,110,146],"Student's":[31],"distributions,":[32],"which":[33],"can":[34],"reduce":[35],"sensitiveness":[37],"to":[38,68,95,161],"outliers.":[39],"Latent":[40],"random":[41],"variables":[42],"represent":[44],"features'":[46],"salience":[47],"included":[49],"in":[50,92],"indication":[55],"relevance":[58],"features.":[60],"As":[61],"result,":[63],"is":[66,78,90,108,159],"expected":[67],"simultaneously":[69],"realize":[70,96],"clustering,":[71],"selection,":[73],"outlier":[75],"detection.":[76],"Inference":[77],"carried":[79],"out":[80],"by":[81],"tree-structured":[83],"variational":[84],"Bayes":[85],"algorithm.":[86],"Full":[87],"Bayesian":[88,133],"treatment":[89],"adopted":[91],"automatic":[97],"selection.":[99],"Controlled":[100],"experimental":[101],"studies":[102],"showed":[103,121],"developed":[106,124,148],"capable":[109],"modeling":[111],"set":[114],"with":[115],"outliers":[116],"accurately.":[117],"Furthermore,":[118],"experiment":[119],"results":[120],"algorithm":[125,149],"compares":[126],"favorably":[127],"against":[128],"existing":[129],"probability":[131],"model-based":[132],"algorithms":[136],"on":[137,150],"artificial":[138],"real":[140,151],"sets.":[142],"Moreover,":[143],"application":[145],"leukemia":[152],"gene":[153],"expression":[154],"indicated":[156],"it":[158],"able":[160],"identify":[162],"discriminating":[164],"genes":[165],"successfully.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}