Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overlap pattern synthesis with an efficient nearest neighbor classifier
Pattern Recognition
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The nearest neighbor classifier (NNC) is a non-parametric classification technique that classifies a test pattern to the class of its nearest neighbor in the training data. In this research, we applied the NNC to a standard letter recognition data and obtained a superior classification rate in comparison to extant approaches. A prime drawback to the NNC technique has been the relative inefficiency of the model. A modified NNC was implemented and applied to the same recognition problem. It is found that if we choose a suitable threshold minimum difference for classification, we can reduce the CPU time by half without lowering the performance of the classifier.