Abstract
We describe methods for estimating manifolds in high-dimensional spacs.They work by mapping the data into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.
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Schölkopf, B. (2004). Kernel Methods for Manifold Estimation. In: Antoch, J. (eds) COMPSTAT 2004 — Proceedings in Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2656-2_36
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DOI: https://doi.org/10.1007/978-3-7908-2656-2_36
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1554-2
Online ISBN: 978-3-7908-2656-2
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