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Visualizing Mercer Kernel feature spaces via kernelized locally-linear embeddings
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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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JPL TRS 1992+
JPL TRS 1992+
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