Methods of Dimensionality Reduction
The various methods used for dimensionality reduction include:
Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Generalized Discriminant Analysis (GDA) Dimensionality reduction may be both linear or non-linear, depending upon the method used