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• W2300497146 abstract "Since the introduction of Isomap and Locally Linear Embedding in 2000, there has been an explosion of interest in techniques for nonlinear dimension reduction. We present a framework that unifies several prominent techniques, notably diffusion maps and Laplacian eigenmaps. Our framework relies on the construction of various Euclidean distances on undirected graphs and the subsequent embedding of these distances in various Euclidean spaces. We also consider how to construct and embed Euclidean distances on directed graphs." @default.
• W2300497146 created "2016-06-24" @default.
• W2300497146 creator A5056784746 @default.
• W2300497146 creator A5070192461 @default.
• W2300497146 date "2010-01-01" @default.
• W2300497146 modified "2023-09-23" @default.
• W2300497146 title "Graph metrics and dimension reduction" @default.
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