{"id":8375,"date":"2025-03-21T17:40:04","date_gmt":"2025-03-21T22:40:04","guid":{"rendered":"https:\/\/www.icesi.edu.co\/editorial\/?p=8375"},"modified":"2025-06-05T12:48:36","modified_gmt":"2025-06-05T17:48:36","slug":"intro-clustering","status":"publish","type":"post","link":"https:\/\/www.icesi.edu.co\/editorial\/intro-clustering\/","title":{"rendered":"Una introducci\u00f3n a los modelos de Cl\u00fastering empleando R"},"content":{"rendered":"<p><a href=\"https:\/\/repository.icesi.edu.co\/bitstreams\/b784d1e1-2063-4dd1-9da2-fdd1f5dbb80c\/download\" target=\"_blank\" rel=\"noopener\">Download\/Descargar<\/a> | <a href=\"https:\/\/www.icesi.edu.co\/editorial\/intro-clustering-web\/\" target=\"_blank\" rel=\"noopener\">Leer en l\u00ednea<\/a><br \/>\n<strong>T\u00edtulo completo:<\/strong> Una introducci\u00f3n a los modelos de Cl\u00fastering empleando R.<br \/>\n<strong>Autores:<\/strong> Julio C\u00e9sar Alonso C., Maria Fernanda Largo L. y Cristian Camilo Hoyos B.<br \/>\n<strong>Colecci\u00f3n:<\/strong> Herramientas del Big Data y Analytics | <strong>N\u00famero:<\/strong> 6.<br \/>\n<strong>Editorial:<\/strong> Universidad Icesi.<br \/>\n<strong>ISBN:<\/strong> 978-628-7740-99-0 (eBook).<br \/>\n<strong>A\u00f1o de edici\u00f3n:<\/strong> 2025.<br \/>\n<span id=\"post-ratings-8375\" class=\"post-ratings\" data-nonce=\"efc1f5d439\"><img decoding=\"async\" id=\"rating_8375_1\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"1 estrella\" title=\"1 estrella\" onmouseover=\"current_rating(8375, 1, '1 estrella');\" onmouseout=\"ratings_off(4.8, 5, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; 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height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"\/\/cdn.plu.mx\/widget-popup.js\"><\/script><a href=\"https:\/\/plu.mx\/plum\/a\/?doi=10.18046\/EUI\/bda.h.6\" data-popup=\"right\" data-size=\"large\" class=\"plumx-plum-print-popup\" data-site=\"plum\" data-hide-when-empty=\"true\" data-lang=\"es\" target=\"_blank\" rel=\"noopener\">Una introducci\u00f3n a los modelos de Cl\u00fastering empleando R<\/a>\n<\/td>\n<td style=\"border: none; vertical-align: top; height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js\"><\/script><\/p>\n<div class=\"altmetric-embed\" data-badge-type=\"donut\" data-altmetric-id=\"\"><\/div>\n<\/td>\n<td style=\"border: none; vertical-align: middle;\"><span class=\"__dimensions_badge_embed__\" data-doi=\"10.18046\/EUI\/bda.h.6\" data-hide-zero-citations=\"true\" data-legend=\"hover-right\" data-style=\"small_circle\"><\/span><script async=\"\" src=\"https:\/\/badge.dimensions.ai\/badge.js\" charset=\"utf-8\"><\/script><\/td>\n<\/tr>\n<\/table>\n<div class=\"osc-res-tab tabbable   osc-tabs-left\"><div style=\"clear:both;width: 100%;\"><ul class=\"nav osc-res-nav nav-pills osc-tabs-left-ul\" id=\"oscitas-restabs-1-intro-clustering-78873\"><li class=\"active\"><a href=\"#ert_pane1-0\" data-toggle=\"tab\">Descripci\u00f3n<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-1\" data-toggle=\"tab\">Contenido<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-2\" data-toggle=\"tab\">Autor(es)<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-3\" data-toggle=\"tab\">Catalogaci\u00f3n<\/a><\/li><\/ul><\/div><div style=\"clear:both;width: 100%;\"><ul class=\"tab-content\" id=\"oscitas-restabcontent-1-intro-clustering-78873\"><li class=\"tab-pane active\" id=\"ert_pane1-0\"><p style=\"text-align: justify;\">Este libro es una introducci\u00f3n clara y accesible a los modelos estad\u00edsticos y de aprendizaje de m\u00e1quina aplicados al <i>clustering<\/i>. Dirigido a quienes inician su formaci\u00f3n como cient\u00edficos de datos, ofrece una gu\u00eda esencial para entender c\u00f3mo identificar y agrupar elementos similares, manteniendo la mayor diferencia posible entre los grupos, tambi\u00e9n llamados conglomerados, clases o cl\u00fasteres. Estas t\u00e9cnicas  no solo pueden responder preguntas de negocio por s\u00ed solas, sino que tambi\u00e9n son clave en la exploraci\u00f3n de datos antes de desarrollar modelos complejos y probar hip\u00f3tesis. A lo largo del libro, descubrir\u00e1s c\u00f3mo construir y analizar estos grupos con aplicaciones pr\u00e1cticas y enfoques fundamentales.<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00f3mo citar (APA):<\/strong> Alonso, J.C.; Largo, M.F. y Camilo Hoyos, C. (2025). <i>Una introducci\u00f3n a los modelos de Cl\u00fastering empleando R<\/i>. Cali: Editorial Universidad Icesi. DOI: <a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.6\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.6<\/a><\/p><\/li><li class=\"tab-pane \" id=\"ert_pane1-1\"><strong>Tabla de contenido:<\/strong><\/p>\n<p>Prefacio<\/p>\n<p><strong>1 \/ Introducci\u00f3n<\/strong><\/p>\n<p><strong>2 \/ Generalidades y m\u00e9tricas de los modelos de cl\u00fastering<\/strong><\/p>\n<p><strong><u>I. Algoritmos jer\u00e1rquicos<\/u><\/strong><\/p>\n<p><strong>3 \/ Cl\u00fastering jer\u00e1rquico<\/strong><\/p>\n<p><strong>4 \/ Implementando los algoritmos de cl\u00fastering jer\u00e1rquico en R<\/strong><\/p>\n<p><strong><u>II. Algoritmos basados en centroides<\/u><\/strong><\/p>\n<p><strong>5 \/ Modelo k-means<\/strong><\/p>\n<p><strong>6 \/ Modelos PAM y CLARA<\/strong><\/p>\n<p><strong><u>III. Algoritmos basados en densidad<\/u><\/strong><\/p>\n<p><strong>7 \/ Modelos DBSCAN<\/strong><\/p>\n<p><strong><u>IV. Algoritmos basados en distribuciones<\/u><\/strong><\/p>\n<p><strong>8 \/ Modelo GMM<\/strong><\/p>\n<p><strong><u>V. Algoritmos combinados<\/u><\/strong><\/p>\n<p><strong>9 \/ Modelo FANNY<\/strong><\/p>\n<p><strong>10 \/ Respuestas a los ejercicios seleccionados<\/strong><\/p>\n<p>Bibliograf\u00eda<\/p>\n<p>\u00cdndice alfab\u00e9tico<br \/><\/li><li class=\"tab-pane \" id=\"ert_pane1-2\"><ul>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0003-4890-7122\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Julio C\u00e9sar Alonso Cifuentes<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0003-1118-3757\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Maria Fernanda Largo Li\u00e9vano<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0002-6682-5027\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Cristian Camilo Hoyos Bermeo<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<\/ul><\/li><li class=\"tab-pane \" id=\"ert_pane1-3\"><table>\n<tbody>\n<tr class=\"first odd\">\n<th width=\"160\">\n<p style=\"text-align: left;\">T\u00edtulo (ingl\u00e9s):<\/p>\n<\/th>\n<td class=\"data last\">An introduction to clustering models using R.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">DOI\/URL:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.6\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.6<\/a><\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Editorial(es):<\/p>\n<\/th>\n<td class=\"data last\">Universidad Icesi.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Autores:<\/p>\n<\/th>\n<td class=\"data last\">Julio C\u00e9sar Alonso C., Maria Fernanda Largo L. y Cristian Camilo Hoyos B.<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Palabras clave:<\/p>\n<\/th>\n<td class=\"data last\">R, Cl\u00fastering, Lenguaje estad\u00edstico, Big Data Analytics.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">ISBN:<\/p>\n<\/th>\n<td class=\"data last\">978-628-7740-99-0 (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Fecha de edici\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Marzo de 2025.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">No. de p\u00e1ginas:<\/p>\n<\/th>\n<td class=\"data last\">193.<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Idioma(s):<\/p>\n<\/th>\n<td class=\"data last\">Espa\u00f1ol.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Formato(s):<\/p>\n<\/th>\n<td class=\"data last\">Libro electr\u00f3nico (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Alto x ancho:<\/p>\n<\/th>\n<td class=\"data last\">27,9 x 21,5 cm.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Colecci\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Herramientas del Big Data y Analytics (6).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Producto:<\/p>\n<\/th>\n<td class=\"data last\">Libro de texto.<\/td>\n<\/tr>\n<tr class=\"last even\">\n<th>\n<p style=\"text-align: left;\">Observaciones:<\/p>\n<\/th>\n<td class=\"data last\">Incluye referencias bibliogr\u00e1ficas.<\/td>\n<\/tr>\n<tr class=\"last odd\">\n<th>\n<p style=\"text-align: left;\">Registro DSpace:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/hdl.handle.net\/10906\/130243\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2016\/04\/downloadIcon-e1460499009176.png\" alt=\"Icono de Repositorio - Contenido en la Nube\" width=\"25\" height=\"25\"><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/li><\/ul><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Download\/Descargar | Leer en l\u00ednea T\u00edtulo completo: Una introducci\u00f3n a los modelos de Cl\u00fastering empleando R. Autores: Julio C\u00e9sar Alonso C., Maria Fernanda Largo L. y Cristian Camilo Hoyos B. Colecci\u00f3n: Herramientas del Big Data y Analytics | N\u00famero: 6. Editorial: Universidad Icesi. ISBN: 978-628-7740-99-0 (eBook). A\u00f1o de edici\u00f3n: 2025. Una introducci\u00f3n a los modelos [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":8378,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[814,728],"tags":[325,418,442,730,734,736,811,869,930,973,974,975],"class_list":["post-8375","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-herramientas","category-big-data","tag-libro-de-texto","tag-cienfi","tag-julio-cesar-alonso","tag-big-data","tag-modelo-de-analitica","tag-big-data-analytics","tag-lenguaje-estadistico","tag-rstudio","tag-fne-2","tag-973","tag-analisis-de-datos","tag-clustering"],"_links":{"self":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8375","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/comments?post=8375"}],"version-history":[{"count":9,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8375\/revisions"}],"predecessor-version":[{"id":8539,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8375\/revisions\/8539"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media\/8378"}],"wp:attachment":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media?parent=8375"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/categories?post=8375"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/tags?post=8375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}