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- W2366127399 abstract "The isometric feature mapping (Isomap) algorithm is a novel and powerful technique for nonlinear dimensionality reduction, one of hers prominent advantages is only two parameters need to be set, i.e. the parameter of neighborhood and the embedding dimension. A new algorithm for estimating the optimal embedding dimension of Isomap was proposed. It used the data produced by performing Isomap itself to estimate the manifold’s optimal embedding dimension and it could also obtain the optimal value of the parameter of neighborhood. Experiments show that this algorithm is more reasonable and objective than residual variance technique and is effective to both artificial data and real-word data." @default.
- W2366127399 created "2016-06-24" @default.
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- W2366127399 date "2008-01-01" @default.
- W2366127399 modified "2023-09-24" @default.
- W2366127399 title "Algorithm for Estimating Optimal Embedding Dimension of Isomap" @default.
- W2366127399 hasPublicationYear "2008" @default.
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