Local tangent space alignment
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Real-world data is often high-dimensionality. Therefore, dimensionality reduction technics are necessary tools to find a… Expand The local tangent space alignment (LTSA) has demonstrated promising results in finding meaningful low-dimensional structures… Expand Principal component analysis (PCA) is widely used in recently proposed manifold learning algorithms to provide approximate local… Expand Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction… Expand Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and… Expand In this paper, a novel linear subspace learning algorithm called orthogonal discriminant linear local tangent space alignment… Expand Manifold alignment (Ham et al., 2005) is about mapping several datasets into a global space, and is of great importance in… Expand In this paper, linear local tangent space alignment (LLTSA), as a novel linear dimensionality reduction algorithm, is proposed… Expand A novel supervised learning method is proposed in this paper. It is an extension of local tangent space alignment (LTSA) to… Expand In this paper we present a new algorithm for manifold learning and nonlinear dimension reduction. Based on a set of unorganized… Expand