{"id":"https://openalex.org/W1973247608","doi":"https://doi.org/10.1007/s11634-013-0137-3","title":"Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions","display_name":"Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions","publication_year":2013,"publication_date":"2013-06-13","ids":{"openalex":"https://openalex.org/W1973247608","doi":"https://doi.org/10.1007/s11634-013-0137-3","mag":"1973247608"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-013-0137-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-013-0137-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and 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/A5033231291","display_name":"Katherine Morris","orcid":"https://orcid.org/0000-0003-3981-1567"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Katherine Morris","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Guelph, Ontario, Canada","Department of Mathematics & Statistics, University of Guelph, Ontario, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Guelph, Ontario, Canada#TAB#","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069386158","display_name":"Paul D. McNicholas","orcid":"https://orcid.org/0000-0002-2482-523X"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Paul D. McNicholas","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Guelph, Ontario, Canada","Department of Mathematics & Statistics, University of Guelph, Ontario, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"Department of Mathematics & Statistics, University of Guelph, Ontario, Canada#TAB#","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045808844","display_name":"Luca Scrucca","orcid":"https://orcid.org/0000-0003-3826-0484"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Scrucca","raw_affiliation_strings":["Dipartimento di Economia, Finanza e Statistica, Universit\u00e0 degli Studi di Perugia, Perugia, Italy","Dipartimento di Economia Finanza e Statistica Universita' degli Studi di Perugia, Perugia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Economia, Finanza e Statistica, Universit\u00e0 degli Studi di Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]},{"raw_affiliation_string":"Dipartimento di Economia Finanza e Statistica Universita' degli Studi di Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069386158"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":6.9211,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96504575,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"3","first_page":"321","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9821000099182129,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9703999757766724,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8255410194396973},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7395741939544678},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7279388308525085},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6070579886436462},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5613263249397278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.542958676815033},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5326793789863586},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5062398314476013},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.494434118270874},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.49227991700172424},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4547741115093231},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.42899876832962036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4185158610343933},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.41725942492485046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37464189529418945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3717721104621887},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3466697931289673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2877858281135559},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21420127153396606},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1768624186515808},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060235947370529175}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8255410194396973},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7395741939544678},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7279388308525085},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6070579886436462},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5613263249397278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.542958676815033},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5326793789863586},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5062398314476013},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.494434118270874},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.49227991700172424},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4547741115093231},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42899876832962036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4185158610343933},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.41725942492485046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37464189529418945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3717721104621887},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3466697931289673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2877858281135559},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21420127153396606},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1768624186515808},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060235947370529175},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11634-013-0137-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-013-0137-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:7:y:2013:i:3:p:321-338","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s11634-013-0137-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:cris.unibo.it:11585/997668","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/997668","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W194034371","https://openalex.org/W199251881","https://openalex.org/W306662213","https://openalex.org/W988149966","https://openalex.org/W1482639564","https://openalex.org/W1513618424","https://openalex.org/W1538122709","https://openalex.org/W1579271636","https://openalex.org/W1727290854","https://openalex.org/W1963566461","https://openalex.org/W1967639437","https://openalex.org/W1975120776","https://openalex.org/W1980447529","https://openalex.org/W1982551589","https://openalex.org/W1985593448","https://openalex.org/W1988261662","https://openalex.org/W1988508705","https://openalex.org/W1988586734","https://openalex.org/W1992402718","https://openalex.org/W2006729141","https://openalex.org/W2011832962","https://openalex.org/W2014306350","https://openalex.org/W2016728733","https://openalex.org/W2018905040","https://openalex.org/W2026414138","https://openalex.org/W2027255954","https://openalex.org/W2033403400","https://openalex.org/W2039615557","https://openalex.org/W2044087250","https://openalex.org/W2045254715","https://openalex.org/W2047109555","https://openalex.org/W2047555270","https://openalex.org/W2049633694","https://openalex.org/W2054834816","https://openalex.org/W2056243712","https://openalex.org/W2060611171","https://openalex.org/W2066077440","https://openalex.org/W2073984943","https://openalex.org/W2076089275","https://openalex.org/W2082503527","https://openalex.org/W2092693116","https://openalex.org/W2105787212","https://openalex.org/W2111734525","https://openalex.org/W2117853077","https://openalex.org/W2119309329","https://openalex.org/W2133822638","https://openalex.org/W2137971377","https://openalex.org/W2138550913","https://openalex.org/W2152904625","https://openalex.org/W2154055962","https://openalex.org/W2157324002","https://openalex.org/W2163490846","https://openalex.org/W2168175751","https://openalex.org/W2168980979","https://openalex.org/W2260476998","https://openalex.org/W2289748525","https://openalex.org/W2343272106","https://openalex.org/W2346841190","https://openalex.org/W2474170597","https://openalex.org/W2498094064","https://openalex.org/W2582743722","https://openalex.org/W3103455770","https://openalex.org/W3125929818","https://openalex.org/W4235169531"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}