The measurements which represent the data. The statistical model one uses is crucially dependent on the choice of features. Hence it is useful to consider alternative representations of the same measurements (i.e. different features). For example, different representations of the color values in an image. General techniques for finding new representations include discriminant analysis, principal component analysis, and clustering.
