{"id":"https://openalex.org/W3095864856","doi":"https://doi.org/10.13053/cys-24-3-3326","title":"Controlling 2D Artificial Data Mixtures Overlap","display_name":"Controlling 2D Artificial Data Mixtures Overlap","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3095864856","doi":"https://doi.org/10.13053/cys-24-3-3326","mag":"3095864856"},"language":"en","primary_location":{"id":"doi:10.13053/cys-24-3-3326","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-3-3326","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","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/A5113507798","display_name":"Mohammed Ouali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Ouali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039327766","display_name":"Walid Mahdi","orcid":"https://orcid.org/0000-0003-3465-0397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walid Mahdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017780455","display_name":"Radhwane Gharbaoui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Radhwane Gharbaoui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061099557","display_name":"Seyyid Ahmed Medjahed","orcid":"https://orcid.org/0000-0003-2135-0264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seyyid Ahmed Medjahed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14009327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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":0.991599977016449,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.983299970626831,"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":0.831376314163208},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7401066422462463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969431638717651},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5818410515785217},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.54346764087677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5006420612335205},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4825415015220642},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4814316928386688},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4654563069343567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572365880012512},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4540087878704071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42917048931121826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3544791042804718},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08665347099304199},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06707033514976501}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.831376314163208},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7401066422462463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969431638717651},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5818410515785217},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.54346764087677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5006420612335205},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4825415015220642},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4814316928386688},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4654563069343567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572365880012512},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4540087878704071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42917048931121826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3544791042804718},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08665347099304199},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06707033514976501},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-24-3-3326","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-24-3-3326","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2990323019","https://openalex.org/W2014494654","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W2095350775","https://openalex.org/W1952261593","https://openalex.org/W1578916557","https://openalex.org/W2991483587","https://openalex.org/W3116444723","https://openalex.org/W2187490799"],"abstract_inverted_index":{"Clustering":[0,95],"methods":[1,20],"are":[2],"used":[3],"for":[4,43,65],"identifying":[5],"groups":[6],"of":[7,18,26,40,68],"similar":[8],"objects":[9],"considered":[10],"as":[11],"homogenous":[12],"set.":[13],"Unfortunately,":[14],"analytic":[15],"performance":[16],"evaluation":[17],"clustering":[19],"is":[21,58,101],"a":[22,35],"difficult":[23],"task":[24],"because":[25],"their":[27],"ad-hoc":[28],"nature.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"new":[36],"test":[37],"case":[38],"generator":[39,50],"artificial":[41],"data":[42],"2":[44],"dimensional":[45],"Gaussian":[46],"mixtures.":[47],"The":[48],"proposed":[49],"has":[51],"two":[52],"interesting":[53],"advantages:":[54],"the":[55,71,76,82,93,106],"first":[56],"one":[57,73],"its":[59],"ability":[60],"to":[61,88,92],"produce":[62],"simulated":[63],"mixture":[64],"any":[66],"number":[67],"components,":[69],"while":[70],"second":[72],"resides":[74],"in":[75],"fact":[77],"that":[78],"it":[79],"formally":[80],"quantifies":[81],"overlap":[83,107],"rate":[84,108],"which":[85],"allows":[86],"us":[87],"add":[89],"some":[90],"complexity":[91],"data.":[94],"algorithms":[96],"and":[97],"validity":[98],"indices":[99],"behavior":[100],"also":[102],"analyzed":[103],"by":[104],"changing":[105],"between":[109],"clusters.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
