Proceedings PaperPattern Recognition And Classification: An Information Theory Approach
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The application of Shannon's information metric is considered within the context of specifying physically realizable economic and technologic performance constraints, such as the maximization of returned information (bits/dollars), or the minimization of expected informational redundancy. The robustness of the selected doctrine is examined as a function of the classification resolution, and the marginal effects, e.g., entropies, of additional data sets (or observation variables) are also investigated relative to the enhancement of the discrimination surfaces.