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laplacian_eigen

于 2020-12-15 发布 文件大小:1KB
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  拉普拉斯特征映射,采用热核构造权重,是一种基于流行学习的非线性降维技术,可用于图像分割提高聚类的性能(Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to promote clustering performance.)

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laplacian_eigen
...............\laplacian_eigen.m,2019,2011-05-17

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