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manifold alignment

  • 流形对齐:一种机器学习技术,用于在高维数据中找到相似的结构,从而实现数据的降维和可视化。

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  流形对齐算法

2.2.6 流形对齐算法(Manifold Alignment) 39-40

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  • 流形对齐 - 引用次数:1

    参考来源 - 流形学习中的若干问题研究

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Manifold alignment

  • abstract: Manifold alignment is a class of machine learning algorithms that produce projections between sets of data, given that the original data sets lie on a common manifold. The concept was first introduced as such by Ham, Lee, and Saul in 2003, adding a manifold constraint to the general problem of correlating sets of high-dimensional vectors.

以上来源于: WordNet

双语例句

  • Most of manifold alignment algorithms can only give the predictive value of the training set instead of producing a mapping defined everywhere.

    大多数流形对齐算法只能给出训练预测值而没有给出整个数据空间上的映射关系。

    youdao

  • As an effective manifold-learning method, the local tangent space alignment (LTSA) algorithm is sensitive to outliers.

    局部空间排列(LTSA)算法一种有效流形学习方法,但该算法孤立点的存在非常敏感

    youdao

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