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Visualizing Mercer Kernel feature spaces via kernelized locally-linear embeddings

Visualizing Mercer Kernel feature spaces via kernelized locally-linear embeddings

DeCoste, D.
URI: http://hdl.handle.net/2014/13246
Date: 2001
Citation: 8th International Conference on Neural Information Processing, Shanghai, China, 2001

Abstract:

A new technique for projecting high-dimensional data to low-dimensional spaces, called locally linear embedding (LLE) has recently been introduced.

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