{"id":"https://openalex.org/W2128999403","doi":"https://doi.org/10.1145/1102351.1102389","title":"Bayesian hierarchical clustering","display_name":"Bayesian hierarchical clustering","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2128999403","doi":"https://doi.org/10.1145/1102351.1102389","mag":"2128999403"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102351.1102389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5014018142","display_name":"Katherine Heller","orcid":"https://orcid.org/0000-0002-4848-7466"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"funder","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210115172","display_name":"Oxford Centre for Computational Neuroscience","ror":"https://ror.org/026ejyb70","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210115172"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Katherine A. Heller","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, UCL, London, UK"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, UCL, London, UK","institution_ids":["https://openalex.org/I45129253","https://openalex.org/I4210115172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010820865","display_name":"Zoubin Ghahramani","orcid":"https://orcid.org/0000-0002-7464-6475"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"funder","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210115172","display_name":"Oxford Centre for Computational Neuroscience","ror":"https://ror.org/026ejyb70","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210115172"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zoubin Ghahramani","raw_affiliation_strings":["Gatsby Computational Neuroscience Unit, UCL, London, UK"],"affiliations":[{"raw_affiliation_string":"Gatsby Computational Neuroscience Unit, UCL, London, UK","institution_ids":["https://openalex.org/I45129253","https://openalex.org/I4210115172"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.751,"has_fulltext":false,"cited_by_count":371,"citation_normalized_percentile":{"value":0.986579,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"304"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":1.0,"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":1.0,"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":0.9863,"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/T11269","display_name":"Algorithms and Data Compression","score":0.98,"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/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5859545},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.50566435},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48875427}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6332714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62059087},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5859545},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.50566435},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48875427},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45052817},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4496244},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.42929688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37589124},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.3477701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34002662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3279522},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.18569931},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102351.1102389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.43,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1699498167","https://openalex.org/W2029485495","https://openalex.org/W2082503527","https://openalex.org/W2089484716","https://openalex.org/W2109176692","https://openalex.org/W2113709557","https://openalex.org/W2120636621","https://openalex.org/W2121234459","https://openalex.org/W2151832869","https://openalex.org/W2160157087","https://openalex.org/W2162995740","https://openalex.org/W2182025540","https://openalex.org/W2593847755","https://openalex.org/W3004389950","https://openalex.org/W3017143921","https://openalex.org/W92424514"],"related_works":["https://openalex.org/W90541078","https://openalex.org/W2939843948","https://openalex.org/W2891616219","https://openalex.org/W2803512450","https://openalex.org/W2497860580","https://openalex.org/W2185463984","https://openalex.org/W2097627380","https://openalex.org/W2053909857","https://openalex.org/W2048766621","https://openalex.org/W2008338582"],"abstract_inverted_index":{"We":[0,153],"present":[1],"a":[2,15,32,48,69,111,119,130,139],"novel":[3,112],"algorithm":[4,19,106],"for":[5,118,156],"agglomerative":[6,26],"hierarchical":[7],"clustering":[8,27],"based":[9],"on":[10,74,134,172],"evaluating":[11],"marginal":[12,136],"likelihoods":[13],"of":[14,35,47,54,59,101,138,147,181],"probabilistic":[16,33],"model.":[17],"This":[18],"has":[20],"several":[21],"advantages":[22],"over":[23,143],"traditional":[24],"distance-based":[25],"algorithms.":[28],"(1)":[29],"It":[30,67,128],"defines":[31],"model":[34,126,159],"the":[36,44,52,60,64,98,102,135,148,158,162,168,182],"data":[37,149,176],"which":[38,91],"can":[39,107],"be":[40,108],"used":[41,88],"to":[42,57,72,89,96,167],"compute":[43],"predictive":[45,163],"distribution":[46],"test":[49],"point":[50],"and":[51,95,165,174],"probability":[53],"it":[55],"belonging":[56],"any":[58],"existing":[61],"clusters":[62,76],"in":[63,150],"tree.":[65,103],"(2)":[66],"uses":[68],"model-based":[70],"criterion":[71],"decide":[73,90],"merging":[75],"rather":[77],"than":[78],"an":[79],"ad-hoc":[80],"distance":[81],"metric.":[82],"(3)":[83],"Bayesian":[84],"hypothesis":[85],"testing":[86],"is":[87],"merges":[92],"are":[93],"advantageous":[94],"output":[97],"recommended":[99],"depth":[100],"(4)":[104],"The":[105],"interpreted":[109],"as":[110],"fast":[113],"bottom-up":[114],"approximate":[115],"inference":[116],"method":[117],"Dirichlet":[120],"process":[121],"(i.e.":[122],"countably":[123],"infinite)":[124],"mixture":[125],"(DPM).":[127],"provides":[129],"new":[131],"lower":[132],"bound":[133],"likelihood":[137],"DPM":[140],"by":[141],"summing":[142],"exponentially":[144],"many":[145],"clusterings":[146],"polynomial":[151],"time.":[152],"describe":[154],"procedures":[155],"learning":[157],"hyperpa-rameters,":[160],"computing":[161],"distribution,":[164],"extensions":[166],"algorithm.":[169,183],"Experimental":[170],"results":[171],"synthetic":[173],"real-world":[175],"sets":[177],"demonstrate":[178],"useful":[179],"properties":[180]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2128999403","counts_by_year":[{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":26},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":31}],"updated_date":"2025-03-28T10:18:44.036890","created_date":"2016-06-24"}