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What is Nearest Neighbor Classification Explained about?

The document discusses nearest neighbor classifiers. It explains that nearest neighbor classifiers store all training samples and classify new samples based on the classes of the nearest neighbors. It describes how the k nearest neighbors are selected using a distance metric like Euclidean distance and how the class is determined from the neighbor classes, such as by majority vote. An example of the PEBLS nearest neighbor system is provided which uses a modified value difference metric to calculate distance

Author

Wang Chen Yu

Language

EN