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In Recent years, manifold learning has become an important research direction in the field of machine learning and pattern recognition. As an effective way of representation embedded in low-dimensional space of high-dimensional data, the manifold learning algorithm, which is based on the spectral theory, has been widely used. This paper presents an estimation algorithm of Laplacian Eigenvalues and...
Semi-supervised learning is an important research area in machine learning, which is mainly combined with a little labeled training data from reality, studies the data structure and distribution information from the large number of unlabeled data and makes full use of this information to improve the performance of classification algorithms, and researches the symmetry between the labeled and unlabeled...
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