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    A novel ensemble support vector machine model for land cover classification by Ying Liu, Lihua Huang

    Published 2019-04-01
    “…The key characteristics of this approach are that (1) a novel noise filtering scheme that avoids the noisy examples based on fuzzy clustering and principal component analysis algorithm is proposed to remove both attribute noises and class noises to achieve an optimal clean set and (2) support vector machine classifiers, based on the particle swarm optimization algorithm, are seen to component classifiers. …”
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