A Fast KNN Algorithm Based on Simulated Annealing
نویسندگان
چکیده
-K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k nearest neighbors quickly. Simulated annealing algorithm and inverted array are used to help find out the expected neighbors. Our experimental results demonstrate a significant improvement in classification computational efficiency in comparison with the conventional KNN.
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