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