In order to develop linear local tangent space alignment to supervised learning algorithm, an algorithm called orthogonal discriminant linear local tangent space alignment is proposed.
为了将线性局部切空间排列算法发展为有监督的学习算法,提出了一种正交判别的线性局部切空间排列算法。
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。
The paper focuses on the sensitivity of local tangent space alignment (LTSA) to outliers, and presents a robust local tangent space alignment (RLTSA) based on outlier detection.