{"id":"https://openalex.org/W3118614334","doi":"https://doi.org/10.1007/s11222-020-09985-z","title":"Modal Clustering Using Semiparametric Mixtures and Mode Flattening","display_name":"Modal Clustering Using Semiparametric Mixtures and Mode Flattening","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3118614334","doi":"https://doi.org/10.1007/s11222-020-09985-z","mag":"3118614334"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09985-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09985-z","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","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/A5044961739","display_name":"Shengwei Hu","orcid":"https://orcid.org/0000-0001-8849-265X"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Shengwei Hu","raw_affiliation_strings":["Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067304029","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0003-1727-4799"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand"],"raw_orcid":"https://orcid.org/0000-0003-1727-4799","affiliations":[{"raw_affiliation_string":"Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067304029"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":0.4197,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67398758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"1","first_page":null,"last_page":null},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9779000282287598,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9710000157356262,"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":0.8129093647003174},{"id":"https://openalex.org/keywords/flattening","display_name":"Flattening","score":0.7209252119064331},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6057794690132141},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5819152593612671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4862734079360962},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.48460114002227783},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4455658197402954},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.437327116727829},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41955575346946716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36824220418930054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36216673254966736},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2963678240776062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2538922429084778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12890923023223877},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0645112693309784}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8129093647003174},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.7209252119064331},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6057794690132141},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5819152593612671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4862734079360962},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.48460114002227783},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4455658197402954},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.437327116727829},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41955575346946716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36824220418930054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36216673254966736},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2963678240776062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2538922429084778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12890923023223877},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0645112693309784},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-020-09985-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09985-z","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:researchspace.auckland.ac.nz:2292/54666","is_oa":false,"landing_page_url":"https://hdl.handle.net/2292/54666","pdf_url":null,"source":{"id":"https://openalex.org/S7407055463","display_name":"ResearchSpace (University of Auckland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I154130895","host_organization_name":"University of Auckland","host_organization_lineage":["https://openalex.org/I154130895"],"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W108464071","https://openalex.org/W306662213","https://openalex.org/W1482537893","https://openalex.org/W1506859583","https://openalex.org/W1544851357","https://openalex.org/W1598813349","https://openalex.org/W1827853888","https://openalex.org/W1946138347","https://openalex.org/W1973255503","https://openalex.org/W1982359698","https://openalex.org/W1988169300","https://openalex.org/W1991845516","https://openalex.org/W1997817781","https://openalex.org/W1997942192","https://openalex.org/W2001619934","https://openalex.org/W2005282790","https://openalex.org/W2011832962","https://openalex.org/W2026997470","https://openalex.org/W2033403400","https://openalex.org/W2045205685","https://openalex.org/W2045634471","https://openalex.org/W2049343897","https://openalex.org/W2049633694","https://openalex.org/W2053138484","https://openalex.org/W2075665712","https://openalex.org/W2079360233","https://openalex.org/W2086656949","https://openalex.org/W2093328450","https://openalex.org/W2107946060","https://openalex.org/W2108931445","https://openalex.org/W2120452721","https://openalex.org/W2127218421","https://openalex.org/W2161457086","https://openalex.org/W2164500538","https://openalex.org/W2357505028","https://openalex.org/W2474170597","https://openalex.org/W2616769059","https://openalex.org/W2913066018","https://openalex.org/W2963267813","https://openalex.org/W2963328867","https://openalex.org/W3083577026","https://openalex.org/W3104410656","https://openalex.org/W3105265400","https://openalex.org/W3120740533","https://openalex.org/W4231956489","https://openalex.org/W4235169531","https://openalex.org/W4252521233"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W2049450268","https://openalex.org/W3163663844","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W2076772710","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2046237991"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}