{"id":288,"date":"2016-07-13T17:00:09","date_gmt":"2016-07-13T20:00:09","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=288"},"modified":"2016-07-13T17:00:09","modified_gmt":"2016-07-13T20:00:09","slug":"vol2-no2-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/","title":{"rendered":"A New Clustering Procedure Applied to an International Comparison of Indebtedness"},"content":{"rendered":"

T\u00edtulo:<\/strong> A New Clustering Procedure Applied to an International Comparison of Indebtedness<\/p>\n

Autores:<\/strong> Monteiro, Andr\u00e9 d’Almeida; Carneiro, Dion\u00edsio Dias; Pedreira, Carlos Eduardo<\/p>\n

Resumo:<\/strong> This paper presents a procedure for clustering analysis that combines Kohone\\’s Self-organizing Feature Map (SOFM) and statistical schemes. The idea is to cluster the data in two stages: run SOFM and then minimize the segmentation dispersion. The advantages of proposed procedure will be illustrated through a synthetic experiment and a real macroeconomic problem. The procedure is then used to explore the relationship between private indebtedness and some macroeconomic variables commonly used to measure macroeconomic performance. The experiences of thirty-nine countries in the early nineties are analyzed. The procedure outperformed others clustering techniques in the job of identifying consistent groups of countries from the economic and statistical viewpoints. It found out similarities in different countries concerning their respective levels of private indebtedness when added to well-accepted parameters to measure macroeconomic performance.<\/p>\n

Palavras-chave:<\/strong> Vector quantization; Clustering; Self-Organizing Feature Map; Macroeconomic Performance; Private Indebtedness<\/p>\n

P\u00e1ginas:<\/strong> 10<\/p>\n

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol2-no2-art5<\/a><\/p>\n

Artigo em PDF:<\/strong> vol2-no2-art5.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol2-no2-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: A New Clustering Procedure Applied to an International Comparison of Indebtedness Autores: Monteiro, Andr\u00e9 d’Almeida; Carneiro, Dion\u00edsio Dias; Pedreira, Carlos Eduardo Resumo: This paper presents a procedure for clustering analysis that combines Kohone\\’s Self-organizing Feature Map (SOFM) and statistical Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":278,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-288","page","type-page","status-publish","hentry"],"yoast_head":"\nA New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: A New Clustering Procedure Applied to an International Comparison of Indebtedness Autores: Monteiro, Andr\u00e9 d’Almeida; Carneiro, Dion\u00edsio Dias; Pedreira, Carlos Eduardo Resumo: This paper presents a procedure for clustering analysis that combines Kohone’s Self-organizing Feature Map (SOFM) and statistical Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/\",\"name\":\"A New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-13T20:00:09+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning & Nonlinear Models – L&NLM – Volume 2 – N\u00famero 2\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"A New Clustering Procedure Applied to an International Comparison of Indebtedness\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/","og_locale":"pt_BR","og_type":"article","og_title":"A New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models","og_description":"T\u00edtulo: A New Clustering Procedure Applied to an International Comparison of Indebtedness Autores: Monteiro, Andr\u00e9 d’Almeida; Carneiro, Dion\u00edsio Dias; Pedreira, Carlos Eduardo Resumo: This paper presents a procedure for clustering analysis that combines Kohone’s Self-organizing Feature Map (SOFM) and statistical Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/","og_site_name":"Learning and NonLinear Models","twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/","name":"A New Clustering Procedure Applied to an International Comparison of Indebtedness - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2016-07-13T20:00:09+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/vol2-no2-art5\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Browse issues","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/"},{"@type":"ListItem","position":2,"name":"Learning & Nonlinear Models – L&NLM – Volume 2 – N\u00famero 2","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no2\/"},{"@type":"ListItem","position":3,"name":"A New Clustering Procedure Applied to an International Comparison of Indebtedness"}]},{"@type":"WebSite","@id":"https:\/\/sbia.org.br\/lnlm\/#website","url":"https:\/\/sbia.org.br\/lnlm\/","name":"Learning and NonLinear Models","description":"","publisher":{"@id":"https:\/\/sbia.org.br\/lnlm\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/sbia.org.br\/lnlm\/#organization","name":"Learning and NonLinear Models","url":"https:\/\/sbia.org.br\/lnlm\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/","url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","contentUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","width":398,"height":94,"caption":"Learning and NonLinear Models"},"image":{"@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/288","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=288"}],"version-history":[{"count":0,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/288\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/278"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=288"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}