{"id":6632,"date":"2025-03-24T10:27:00","date_gmt":"2025-03-24T09:27:00","guid":{"rendered":"https:\/\/francestat.com\/?page_id=6632"},"modified":"2025-03-24T11:58:52","modified_gmt":"2025-03-24T10:58:52","slug":"uniwin-km","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-km\/","title":{"rendered":"Uniwin – KM"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Classification par les K-moyennes<\/h2><\/div><\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]La classification par la m\u00e9thode des K-moyennes (KM) permet de construire une partition d’un ensemble d\u2019observations en classes telles que les observations appartenant \u00e0 une m\u00eame classe sont proches alors que les observations appartenant \u00e0 des classes diff\u00e9rentes sont \u00e9loign\u00e9es. C\u2019est une m\u00e9thode de classification non hi\u00e9rarchique compl\u00e9mentaire \u00e0 la m\u00e9thode de classification ascendante hi\u00e9rarchique (CAH).<\/p>\n

La proc\u00e9dure affiche un rapport indiquant notamment les centro\u00efdes des classes form\u00e9es, la classification des observations, des statistiques descriptives pour les classes form\u00e9es et les contributions des variables aux classes. Si une classification mixte a \u00e9t\u00e9 mise en \u0153uvre, les r\u00e9sultats de la CAH sont \u00e9galement fournis.<\/p>\n

Les graphiques des inerties intra-classes, des inerties expliqu\u00e9es, des indices de Calinski-Harabasz, des coefficients moyens et individuels de silhouette et des nuages de points des classes form\u00e9es sont propos\u00e9s. Si une classification mixte a \u00e9t\u00e9 mise en \u0153uvre, le diagramme des indices de la classification et l\u2019affichage de l\u2019arbre sont propos\u00e9s.<\/p>\n

Cette proc\u00e9dure est bas\u00e9e sur les packages R ‘stats’ et \u2018cluster\u2019.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6641″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][vc_column_text]<\/p>\n

Tableaux<\/u><\/span><\/strong><\/p>\n

Nombre optimal de classes (KM)<\/p>\n

Centro\u00efdes standardis\u00e9s des classes (KM)<\/p>\n

Centro\u00efdes non standardis\u00e9s des classes (KM)<\/p>\n

Classification du jeu d’apprentissage (KM)<\/p>\n

R\u00e9sum\u00e9 de la classification (KM)<\/p>\n

Statistiques pour les classes (KM)<\/p>\n

Contributions des variables aux classes (KM)<\/p>\n

Contributions des classes aux variables (KM)<\/p>\n

Classification du jeu de pr\u00e9vision (KM)<\/p>\n

Indices de la classification (CAH)<\/p>\n

Centro\u00efdes non standardis\u00e9s des classes (CAH)<\/p>\n

Classification (CAH)<\/p>\n

R\u00e9sum\u00e9 de la classification (CAH)<\/p>\n

Statistiques pour les classes (CAH)<\/p>\n

Contributions des variables aux classes (CAH)<\/p>\n

Contributions des classes aux variables (CAH)<\/p>\n

Graphiques<\/u><\/span><\/strong><\/p>\n

Diagramme des inerties intra-classes (KM)<\/p>\n

Diagramme des inerties expliqu\u00e9es (KM)<\/p>\n

Diagramme des indices de Calinski-Harabasz (KM)<\/p>\n

Diagramme des coefficients moyens de silhouette (KM)<\/p>\n

Graphique des coefficients individuels de silhouette (KM)<\/p>\n

Nuage de points des classes (KM)<\/p>\n

Diagramme des indices de la classification (CAH)<\/p>\n

Diagramme de l’arbre de classification (CAH)<\/p>\n

Nuage de points des classes (CAH)[\/vc_column_text][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][\/vc_row][vc_column][vc_btn title=\u00a0\u00bbConsulter la documentation compl\u00e8te\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FClassification%20par%20la%20m%25e9thode%20des%20K-moyennes.pdf|title:UNIWIN%20-%20KM\u00a0\u00bb][\/vc_column]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]La classification par la m\u00e9thode des K-moyennes (KM) permet de construire une partition d’un ensemble d\u2019observations en classes telles que les observations appartenant \u00e0 une m\u00eame classe sont proches alors que les observations appartenant \u00e0 des classes diff\u00e9rentes sont \u00e9loign\u00e9es. C\u2019est une m\u00e9thode de classification non hi\u00e9rarchique compl\u00e9mentaire \u00e0 la m\u00e9thode de classification ascendante hi\u00e9rarchique…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6632","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - KM - FRANCESTAT<\/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:\/\/francestat.com\/index.php\/uniwin-km\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - KM - FRANCESTAT\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]La classification par la m\u00e9thode des K-moyennes (KM) permet de construire une partition d’un ensemble d\u2019observations en classes telles que les observations appartenant \u00e0 une m\u00eame classe sont proches alors que les observations appartenant \u00e0 des classes diff\u00e9rentes sont \u00e9loign\u00e9es. C\u2019est une m\u00e9thode de classification non hi\u00e9rarchique compl\u00e9mentaire \u00e0 la m\u00e9thode de classification ascendante hi\u00e9rarchique…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/francestat.com\/index.php\/uniwin-km\/\" \/>\n<meta property=\"og:site_name\" content=\"FRANCESTAT\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-24T10:58:52+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-km\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-km\\\/\",\"name\":\"Uniwin - KM - FRANCESTAT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\"},\"datePublished\":\"2025-03-24T09:27:00+00:00\",\"dateModified\":\"2025-03-24T10:58:52+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-km\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-km\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-km\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/francestat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uniwin – KM\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"name\":\"FRANCESTAT\",\"description\":\"Logiciels, formations et services statistiques\",\"publisher\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/francestat.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\",\"name\":\"FRANCESTAT\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"contentUrl\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"width\":155,\"height\":51,\"caption\":\"FRANCESTAT\"},\"image\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Uniwin - KM - FRANCESTAT","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:\/\/francestat.com\/index.php\/uniwin-km\/","og_locale":"fr_FR","og_type":"article","og_title":"Uniwin - KM - FRANCESTAT","og_description":"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]La classification par la m\u00e9thode des K-moyennes (KM) permet de construire une partition d’un ensemble d\u2019observations en classes telles que les observations appartenant \u00e0 une m\u00eame classe sont proches alors que les observations appartenant \u00e0 des classes diff\u00e9rentes sont \u00e9loign\u00e9es. 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