Abstract
A number of mapping operations in pattern recognition is reviewed. Two families of new mapping algorithms are defined. The performance of all algorithms is illustrated using a collection of 100 feature vectors obtained from images of two classes of white blood cells. It is emphasized that the interactive pattern recognition system ISPAHAN is well suited to find optimal decision functions based on such mappings.
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