Nearest prototype classifier via distance measures in recognizing 2-D symbols on utility maps /

In statistical pattern recognition, issues on large learning samples to be used with the well-known, k-Nearest Neighbour (k-NN) classifier, have been investigated by many researchers. These prolems are due to the the large computational burden and memory space required to acomodate these samples. va...

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Main Author: 261203 Azizah Abdul Manaf
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