{"id":"https://openalex.org/W2173611154","doi":"https://doi.org/10.1007/s11634-015-0223-9","title":"Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library","display_name":"Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library","publication_year":2015,"publication_date":"2015-11-21","ids":{"openalex":"https://openalex.org/W2173611154","doi":"https://doi.org/10.1007/s11634-015-0223-9","mag":"2173611154"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-015-0223-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-015-0223-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-015-0223-9.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11634-015-0223-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065832212","display_name":"Marco Riani","orcid":"https://orcid.org/0000-0001-7886-2207"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Riani","raw_affiliation_strings":["University of Parma, Via Kennedy 6, 43125, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma, Via Kennedy 6, 43125, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077676878","display_name":"Andrea Cerioli","orcid":"https://orcid.org/0000-0002-2485-5674"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Cerioli","raw_affiliation_strings":["University of Parma, Via Kennedy 6, 43125, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma, Via Kennedy 6, 43125, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064148555","display_name":"Domenico Perrotta","orcid":"https://orcid.org/0000-0002-0987-3823"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Domenico Perrotta","raw_affiliation_strings":["Global Security and Crisis Management Unit, Institute for the Protection and Security of the Citizen, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Ispra, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Security and Crisis Management Unit, Institute for the Protection and Security of the Citizen, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064050877","display_name":"Francesca Torti","orcid":"https://orcid.org/0000-0003-0801-1735"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Torti","raw_affiliation_strings":["Global Security and Crisis Management Unit, Institute for the Protection and Security of the Citizen, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Ispra, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Security and Crisis Management Unit, Institute for the Protection and Security of the Citizen, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064148555"],"corresponding_institution_ids":["https://openalex.org/I4210118689"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.2257,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90552379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"4","first_page":"461","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9836000204086304,"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/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7707983255386353},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7187025547027588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870434284210205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5412705540657043},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.5074517130851746},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4450749158859253},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.424153208732605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38073647022247314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2141476571559906}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7707983255386353},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7187025547027588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870434284210205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5412705540657043},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.5074517130851746},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4450749158859253},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.424153208732605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38073647022247314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2141476571559906},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11634-015-0223-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-015-0223-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-015-0223-9.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:9:y:2015:i:4:p:461-481","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s11634-015-0223-9","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:publications.jrc.ec.europa.eu:JRC94530","is_oa":false,"landing_page_url":"http://www.springer.com/-/2/AVFaxjQZAgfPWjhrte8d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401126","display_name":"Joint Research Centre (European Commission)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800387288","host_organization_name":"European Commission","host_organization_lineage":["https://openalex.org/I2800387288"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Articles in periodicals and books"},{"id":"pmh:oai:zenodo.org:32062","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/32062","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11634-015-0223-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-015-0223-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-015-0223-9.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2484832597","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G6870533126","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320322875","display_name":"Universit\u00e0 degli Studi di Parma","ror":"https://ror.org/02k7wn190"},{"id":"https://openalex.org/F4320334701","display_name":"Joint Research Centre","ror":"https://ror.org/04j5wtv36"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2173611154.pdf","grobid_xml":"https://content.openalex.org/works/W2173611154.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W115463415","https://openalex.org/W306662213","https://openalex.org/W658480157","https://openalex.org/W1488382947","https://openalex.org/W1571753359","https://openalex.org/W1829970718","https://openalex.org/W1907059778","https://openalex.org/W1972655542","https://openalex.org/W2007443059","https://openalex.org/W2011832962","https://openalex.org/W2020876939","https://openalex.org/W2030209765","https://openalex.org/W2035392043","https://openalex.org/W2047104495","https://openalex.org/W2052236587","https://openalex.org/W2052840507","https://openalex.org/W2069407262","https://openalex.org/W2075092851","https://openalex.org/W2076089275","https://openalex.org/W2077702199","https://openalex.org/W2082398846","https://openalex.org/W2082503527","https://openalex.org/W2091786254","https://openalex.org/W2119852631","https://openalex.org/W2154532634","https://openalex.org/W2300795841","https://openalex.org/W3103302203"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W2150344375","https://openalex.org/W2377984624","https://openalex.org/W2348740175","https://openalex.org/W4243049533","https://openalex.org/W2372487761","https://openalex.org/W2342104405"],"abstract_inverted_index":{"We":[0,70,122,158],"extend":[1],"the":[2,13,19,40,52,125,128,160,172,188,193,225,242],"capabilities":[3],"of":[4,15,21,23,39,54,66,98,108,119,134,141,143,146,153,192,209,228,232,244],"MixSim,":[5,183],"a":[6,64,102,213,229],"framework":[7,105],"which":[8,74,239],"is":[9,42,101,212,240],"useful":[10],"for":[11,32,106,175,180,201,251],"evaluating":[12],"performance":[14],"clustering":[16,115,136,196],"algorithms,":[17],"on":[18,51,58],"basis":[20,53],"measures":[22],"agreement":[24],"between":[25],"data":[26,44,109,137],"partitioning":[27],"and":[28,35,82,86,127,151,198,204,246],"flexible":[29,104],"generation":[30,107],"methods":[31],"data,":[33],"outliers":[34],"noise.":[36],"The":[37,96],"peculiarity":[38],"method":[41],"that":[43,130,167],"are":[45],"simulated":[46],"from":[47,84,218],"normal":[48],"mixture":[49],"distributions":[50],"pre-specified":[55],"synthesis":[56],"statistics":[57,81],"an":[59],"overlap":[60],"measure,":[61],"defined":[62],"as":[63],"sum":[65],"pairwise":[67],"misclassification":[68],"probabilities.":[69],"provide":[71],"new":[72,92,132,161],"tools":[73],"enable":[75],"us":[76],"to":[77,110,148,155,221,223],"control":[78],"additional":[79],"overlapping":[80],"departures":[83],"homogeneity":[85],"sphericity":[87],"among":[88],"groups,":[89],"together":[90],"with":[91],"outlier":[93],"contamination":[94],"schemes.":[95],"output":[97],"this":[99,131],"extension":[100],"more":[103],"better":[111],"address":[112],"modern":[113],"robust":[114,195],"scenarios":[116],"in":[117,139,171,187],"presence":[118],"possible":[120],"contamination.":[121],"also":[123],"study":[124],"properties":[126],"implications":[129],"way":[133],"simulating":[135],"entails":[138],"terms":[140],"coverage":[142],"space,":[144],"goodness":[145],"fit":[147],"theoretical":[149],"distributions,":[150],"degree":[152],"convergence":[154],"nominal":[156],"values.":[157],"demonstrate":[159],"features":[162],"using":[163],"our":[164,210],"MATLAB":[165],"implementation":[166],"we":[168],"have":[169],"integrated":[170],"Flexible":[173],"Statistics":[174],"Data":[176],"Analysis":[177],"(FSDA)":[178],"toolbox":[179],"MATLAB.":[181],"With":[182],"FSDA":[184],"now":[185],"integrates":[186],"same":[189],"environment":[190],"state":[191],"art":[194],"algorithms":[197],"principled":[199],"routines":[200],"their":[202],"evaluation":[203],"calibration.":[205],"A":[206],"spin":[207],"off":[208],"work":[211],"general":[214],"complex":[215],"routine,":[216],"translated":[217],"C":[219],"language":[220],"MATLAB,":[222],"compute":[224],"distribution":[226],"function":[227],"linear":[230],"combinations":[231],"non":[233],"central":[234],"$$\\chi":[235],"^2$$":[236],"random":[237],"variables":[238],"at":[241],"core":[243],"MixSim":[245],"has":[247],"its":[248],"own":[249],"interest":[250],"many":[252],"test":[253],"statistics.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
