{"version":"1.0","provider_name":"LIS Data Solutions","provider_url":"https:\/\/www.lisdatasolutions.com\/es\/","author_name":"Natalia Andueza","author_url":"https:\/\/www.lisdatasolutions.com\/es\/author\/natalia-andueza\/","title":"Algoritmo PCA: de lo complejo a lo sencillo | LIS Data Solutions","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"b8h2kj57MU\"><a href=\"https:\/\/www.lisdatasolutions.com\/es\/blog\/algoritmo-pca-de-lo-complejo-a-lo-sencillo\/\">Algoritmo PCA: de lo complejo a lo sencillo<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.lisdatasolutions.com\/es\/blog\/algoritmo-pca-de-lo-complejo-a-lo-sencillo\/embed\/#?secret=b8h2kj57MU\" width=\"600\" height=\"338\" title=\"\u00abAlgoritmo PCA: de lo complejo a lo sencillo\u00bb \u2014 LIS Data Solutions\" data-secret=\"b8h2kj57MU\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(c,l){\"use strict\";var e=!1,o=!1;if(l.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(\/[^a-zA-Z0-9]\/.test(t.secret));else{for(var r,s,a,i=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=0;o<n.length;o++)n[o].style.display=\"none\";for(o=0;o<i.length;o++)if(r=i[o],e.source!==r.contentWindow);else{if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if(\"link\"===t.message)if(s=l.createElement(\"a\"),a=l.createElement(\"a\"),s.href=r.getAttribute(\"src\"),a.href=t.value,a.host===s.host)if(l.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=l.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/www.lisdatasolutions.com\/wp-content\/uploads\/2022\/07\/graph_pca_2.png","thumbnail_width":600,"thumbnail_height":600,"description":"Cuando alguien se encuentra ante una situaci\u00f3n compleja, siempre se trata de simplificar el problema. El algoritmo CPA trata de simplificar el problema inicial, para poder ir resolvi\u00e9ndolo de la forma m\u00e1s sencilla a la m\u00e1s compleja. A\u00a0la vez que se va adquiriendo la experiencia necesaria para solventar el problema inicial. CPA, Reducci\u00f3n de variables [&hellip;]"}