A comment on “Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding”
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摘要
A geodesic distance-based approach to build the neighborhood graph for isometric embedding is proposed to deal with the highly twisted and folded manifold by Wen et al. [Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding, Pattern Recognition 41 (2008) 2226–2236]. This comment is to identify the error in their example and the ineffectiveness of their algorithm.
论文关键词：Triangle inequality,Geodesic distance,Euclidean distance
论文评审过程：Received 21 July 2008, Accepted 11 November 2008, Available online 21 November 2008.
论文官网地址：https://doi.org/10.1016/j.patcog.2008.11.007
