1. A method of identifying one or more objects, wherein each of the one or more objects belongs to a first class or to a second class, the first class being heterogeneous and having C subclasses, the second class being less heterogenous than the first class, comprising: deriving a plurality of vectors each being mapped to one of the one or more objects, wherein each of the plurality of vectors is an element of an N-dimensional space; preprocessing each of the plurality of vectors using a Fisher Linear Discriminant, wherein the preprocessing reduces the dimensionality of each of the plurality of vectors to M dimensions, wherein M is less than or equal to C; and, classifying the preprocessed vectors by (i) grouping the preprocessed vectors belonging to any of the C subclasses of the first class into a first set of vectors, and (ii) grouping the preprocessed vectors belonging to the second class into a second set of vectors.