{"id":6645,"date":"2025-03-24T11:28:12","date_gmt":"2025-03-24T10:28:12","guid":{"rendered":"https:\/\/francestat.com\/?page_id=6645"},"modified":"2025-03-24T12:13:11","modified_gmt":"2025-03-24T11:13:11","slug":"uniwin-kmed","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-kmed\/","title":{"rendered":"Uniwin – KMED"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Classification par les K-m\u00e9do\u00efdes<\/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-m\u00e9do\u00efdes est une approche de classification apparent\u00e9e \u00e0 la m\u00e9thode des K-moyennes pour partitionner un ensemble de donn\u00e9es en k classes. Dans la classification par K-m\u00e9do\u00efdes, chaque classe est repr\u00e9sent\u00e9e par l’une des observations de la classe. Ces observations sont appel\u00e9es m\u00e9do\u00efdes.<\/p>\n

Le terme m\u00e9do\u00efde fait r\u00e9f\u00e9rence \u00e0 une observation au sein d’une classe pour laquelle la dissemblance moyenne entre elle et toutes les autres observations de la classe est minimale. Elle correspond au point le plus central de la classe. Ces observations (une par classe) peuvent \u00eatre consid\u00e9r\u00e9es comme des exemples repr\u00e9sentatifs des membres des classes. Rappelons que, dans la classification par K-moyennes, le centre d’une classe donn\u00e9e est calcul\u00e9 comme la valeur moyenne de toutes les observations de cette classe.<\/p>\n

La m\u00e9thode des K-m\u00e9do\u00efdes est une alternative robuste \u00e0 la m\u00e9thode des K-moyennes. Cela signifie que l’algorithme est moins sensible au bruit et aux valeurs aberrantes car il utilise les m\u00e9do\u00efdes comme centres des classes au lieu des moyennes.<\/p>\n

La m\u00e9thode des K-m\u00e9do\u00efdes la plus courante est l’algorithme PAM (Partitioning Around Medoids) de Kaufman et Rousseeuw (1990).<\/p>\n

La proc\u00e9dure affiche un rapport indiquant notamment les m\u00e9do\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 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\u00bb6655″ 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

Standardisation des donn\u00e9es (PAM)<\/p>\n

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

M\u00e9do\u00efdes des classes (PAM)<\/p>\n

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

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

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

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

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

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

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

Centro\u00efdes 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 coefficients moyens de silhouette (PAM)<\/p>\n

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

Nuage de points des classes (PAM)<\/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-m%25e9do%25efdes.pdf|title:UNIWIN%20-%20KMED\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-m\u00e9do\u00efdes est une approche de classification apparent\u00e9e \u00e0 la m\u00e9thode des K-moyennes pour partitionner un ensemble de donn\u00e9es en k classes. Dans la classification par K-m\u00e9do\u00efdes, chaque classe est repr\u00e9sent\u00e9e par l’une des observations de la classe. Ces observations sont appel\u00e9es m\u00e9do\u00efdes. Le terme m\u00e9do\u00efde fait r\u00e9f\u00e9rence \u00e0 une…<\/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-6645","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - KMED - 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-kmed\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - KMED - 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-m\u00e9do\u00efdes est une approche de classification apparent\u00e9e \u00e0 la m\u00e9thode des K-moyennes pour partitionner un ensemble de donn\u00e9es en k classes. 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