{"id":"https://openalex.org/W2050862984","doi":"https://doi.org/10.1007/s00357-003-0005-5","title":"Model-based Clustering with Noise: Bayesian Inference and Estimation","display_name":"Model-based Clustering with Noise: Bayesian Inference and Estimation","publication_year":2003,"publication_date":"2003-05-01","ids":{"openalex":"https://openalex.org/W2050862984","doi":"https://doi.org/10.1007/s00357-003-0005-5","mag":"2050862984"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-003-0005-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-003-0005-5","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-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/A5013350725","display_name":"Halima Bensmail","orcid":"https://orcid.org/0000-0001-6700-5752"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Bensmail","raw_affiliation_strings":["University of Tennessee, Department of Statistics, , , , ,","University of Tennessee, Department of Statistics,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Department of Statistics, , , , ,","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"University of Tennessee, Department of Statistics,","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111647643","display_name":"Jacqueline J. Meulman","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"J. J. Meulman","raw_affiliation_strings":["University of Tennessee, Department of Statistics, , , , ,","Leiden University the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Department of Statistics, , , , ,","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Leiden University the Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.667,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.87847517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"49","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9462000131607056,"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/T11106","display_name":"Data Management and Algorithms","score":0.9412000179290771,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7741196155548096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6067649126052856},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5986103415489197},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5956375002861023},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5771516561508179},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5069347023963928},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5055832862854004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49521079659461975},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.490234911441803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45739707350730896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4536433219909668},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.45253854990005493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42129650712013245},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.41905349493026733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35053494572639465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2812687158584595},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22150328755378723}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7741196155548096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6067649126052856},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5986103415489197},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5956375002861023},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5771516561508179},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5069347023963928},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5055832862854004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49521079659461975},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.490234911441803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45739707350730896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4536433219909668},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.45253854990005493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42129650712013245},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.41905349493026733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35053494572639465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2812687158584595},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22150328755378723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00357-003-0005-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-003-0005-5","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.200.8536","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.200.8536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.utk.edu/~hbensmai/cluster2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1488382947","https://openalex.org/W1493454437","https://openalex.org/W1573175260","https://openalex.org/W1579271636","https://openalex.org/W1963566461","https://openalex.org/W1967485420","https://openalex.org/W1976969815","https://openalex.org/W1985594509","https://openalex.org/W1992402718","https://openalex.org/W1996623543","https://openalex.org/W1999056079","https://openalex.org/W2018388286","https://openalex.org/W2023448507","https://openalex.org/W2044645601","https://openalex.org/W2045656233","https://openalex.org/W2047253724","https://openalex.org/W2047555270","https://openalex.org/W2060611171","https://openalex.org/W2063698478","https://openalex.org/W2071316194","https://openalex.org/W2073918756","https://openalex.org/W2074282020","https://openalex.org/W2079817125","https://openalex.org/W2082503527","https://openalex.org/W2082583687","https://openalex.org/W2085572798","https://openalex.org/W2086125239","https://openalex.org/W2091524256","https://openalex.org/W2096878708","https://openalex.org/W2106706098","https://openalex.org/W2112750635","https://openalex.org/W2126163471","https://openalex.org/W2127218421","https://openalex.org/W2136796925","https://openalex.org/W2141770651","https://openalex.org/W2151283476","https://openalex.org/W2168175751","https://openalex.org/W2242071559","https://openalex.org/W2335060803","https://openalex.org/W2418785821","https://openalex.org/W2767905780","https://openalex.org/W2913066018","https://openalex.org/W4245883374"],"related_works":["https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W4286981651","https://openalex.org/W3197430630","https://openalex.org/W2111053936","https://openalex.org/W4309301533","https://openalex.org/W1563519935","https://openalex.org/W4245419042"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":17},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}