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The KNN (The K nearest neighbor) is known as its simple efficient and widely used in classification problems or as a benchmark in classification problems. For different data types especially complex structure and high-dimensional data in real-life, the choice of distance metrics between sample points is a relatively complexity problem. The KNN's feature space is generally n-dimensional real vector...
Glowworm swarm optimization (GSO) is a novel algorithm for the simultaneous computation of multiple optima of multimodal functions, which is a swarm intelligence based optimization algorithm, such as ant colony optimization (ACO) and particle swarm optimization (PSO). In the optimization of multimode functions, GSO performs very well in terms of the number of peaks captured. In this paper, we propose...
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