Categories

PCA tutorial

PCA (principal component analysis)

PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a ...

PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a Read article

Dimensionality reduction

Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the ...

Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the Read article