clustering Jugando con las dimensiones: desde Clustering, PCA, t-SNE.... ¡hasta Carl Sagan! Jugando con las dimensiones ¡Hola! Este post es un experimento que combina el resultado de t-SNE con dos técnicas de clustering bien conocidas: k-means y hierarchical. Esta será la sección práctica, en R.
clustering Playing with dimensions: from Clustering, PCA, t-SNE... to Carl Sagan! Playing with dimensions Hi there! This post is an experiment combining the result of t-SNE with two well known clustering techniques: k-means and hierarchical. This will be the practical section, in R. But
R Data Science - Short lesson on cluster analysis Introduction In clustering you let data to be grouped according to their similarity. A cluster model is a group of segments -clusters- containing cases (such as clients, patients, cars, etc.). Once a cluster
R Dynamic analysis on outliers Treating outliers Introduction Outliers are the extreme values that a variable has, depending on the model or requirement, it could be necessary to treat them, either transforming or deleting. Variable “Income”