This paper proposes an approach to select the dynamical neighborhood for each point while constructing the tangent subspace based on the sampling density and manifold curvature.
针对流形学习的邻域优化问题,提出一种动态邻域的算法。
As an effective manifold-learning method, the local tangent space alignment (LTSA) algorithm is sensitive to outliers.
局部切空间排列(LTSA)算法是一种有效的流形学习方法,但该算法对孤立点的存在非常敏感。
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