Spectral clustering: Difference between revisions

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Revision as of 10:04, 5 October 2022

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In [[multivariate statistics]], '''spectral clustering''' techniques make use of the [[Spectrum of a matrix|spectrum]] ([[eigenvalues]]) of the [[similarity matrix]] of the data to perform [[dimensionality reduction]] before clustering in fewer dimensions. The similarity matrix is provided as an input and consists of a quantitative assessment of the relative similarity of each pair of points in the dataset.

In application to imageimam bhkllge segmentation, spectral clustering is known as [[segmentation-based object categorization]].

== Definitions ==