乐胖代购免代理版

{"id":"https://openalex.org/W3201715165","doi":"https://doi.org/10.34768/amcs-2021-0033","title":"Fitting a Gaussian mixture model through the Gini index","display_name":"Fitting a Gaussian mixture model through the Gini index","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201715165","doi":"https://doi.org/10.34768/amcs-2021-0033","mag":"3201715165"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0033","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0033","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0033","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045749447","display_name":"Adriana Laura L\u00f3pez-Lobato","orcid":null},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Adriana Laura L\u00f3pez-Lobato","raw_affiliation_strings":["Faculty of Mathematics, University of Veracruz"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics, University of Veracruz","institution_ids":["https://openalex.org/I147280213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050007180","display_name":"Martha Lorena Avenda\u00f1o\u2010Garrido","orcid":"https://orcid.org/0000-0001-7956-8958"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Martha Lorena Avenda\u00f1o-Garrido","raw_affiliation_strings":["Faculty of Mathematics, University of Veracruz"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics, University of Veracruz","institution_ids":["https://openalex.org/I147280213"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045749447"],"corresponding_institution_ids":["https://openalex.org/I147280213"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100,"provenance":"doaj"},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100,"provenance":"doaj"},"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.684384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":72,"max":76},"biblio":{"volume":"31","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.999,"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":0.999,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9779,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9634,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.66549206},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5194975},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5113382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45931202},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43876266},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41953066},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.39993408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21621236},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21239549},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0033","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0033","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/f782c47a658643428371533ac2c3adf1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0033","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0033","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1585160083","https://openalex.org/W1589920402","https://openalex.org/W1723619723","https://openalex.org/W1967460951","https://openalex.org/W1981706894","https://openalex.org/W2042216486","https://openalex.org/W2049633694","https://openalex.org/W2073245587","https://openalex.org/W2078293886","https://openalex.org/W2095501777","https://openalex.org/W2134199473","https://openalex.org/W2143668817","https://openalex.org/W2150606601","https://openalex.org/W2401624318","https://openalex.org/W2565523924","https://openalex.org/W2743034770","https://openalex.org/W2924687140","https://openalex.org/W3022044250","https://openalex.org/W3092157062","https://openalex.org/W3120583973","https://openalex.org/W4241310355","https://openalex.org/W4300672471","https://openalex.org/W611617050"],"related_works":["https://openalex.org/W82723519","https://openalex.org/W3130349901","https://openalex.org/W2990323019","https://openalex.org/W2107361128","https://openalex.org/W2095350775","https://openalex.org/W2014494654","https://openalex.org/W1975321310","https://openalex.org/W1952261593","https://openalex.org/W1579833936","https://openalex.org/W1578916557"],"abstract_inverted_index":{"A":[0],"linear":[1],"combination":[2],"of":[3,34,94,97],"Gaussian":[4,10,41,79],"components":[5],"is":[6,14,46],"known":[7],"as":[8],"a":[9,28,40,52,78],"mixture":[11,42,80],"model.":[12,43,81],"It":[13],"widely":[15],"used":[16],"in":[17,65],"data":[18,76,90],"mining":[19],"and":[20,63,77,88],"pattern":[21],"recognition.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"method":[29],"to":[30,54],"estimate":[31],"the":[32,35,49,56,67,75,95,98],"parameters":[33],"density":[36],"function":[37],"given":[38],"by":[39],"Our":[44],"proposal":[45],"based":[47],"on":[48],"Gini":[50,68],"index,":[51],"methodology":[53],"measure":[55],"inequality":[57],"degree":[58],"between":[59,70],"two":[60],"probability":[61],"distributions,":[62],"consists":[64],"minimizing":[66],"index":[69],"an":[71],"empirical":[72],"distribution":[73],"for":[74],"We":[82],"will":[83],"show":[84],"several":[85],"simulated":[86],"examples":[87],"real":[89],"examples,":[91],"observing":[92],"some":[93],"properties":[96],"proposed":[99],"method.":[100]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3201715165","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-01-16T10:04:01.726279","created_date":"2021-10-11"}