Principal Component Analysis (PCA) is a statistical method used to reduce the dimensionality of data by projecting it onto a lower-dimensional space.
Principal Component Analysis (PCA) is a statistical method used to reduce the dimensionality of data by projecting it onto a lower-dimensional space.