Unsupervised Learning

Abstract

Most of this book concerns supervised learning methods such as regression and classification. In the supervised learning setting, we typically have access to a set of p features \$\$X\_\{1\},X\_\{2\},{\textbackslash}ldots,X\_\{p\}\$\$, measured on n observations, and a response Y also measured on those same n observations. The goal is then to predict Y using \$\$X\_\{1\},X\_\{2\},{\textbackslash}ldots,X\_\{p\}\$\$.