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    Machine learning foundations· 1998

    Nonlinear Component Analysis as a Kernel Eigenvalue Problem

    Bernhard Schölkopf (first author) · 1998

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    DOI 10.1162/089976698300017467OpenAlex W2140095548

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    Why it matters

    Introduced kernel PCA, demonstrating nonlinear feature extraction through the kernel trick.

    Condensed from the expert lists' notes.

    The record

    First released
    1998 (from OpenAlex)
    Citations
    8,092 citations, as counted by OpenAlex (CC0)
    Named by
    the chatgpt list only
    Score
    0.328 · computed rank 536 · consensus 0.14, must-read 0, citations percentile 0.818 (1990s · foundations), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.