Lecture 7 1 Spectral Clustering

  • Published 2012

Abstract

Spectral clustering is a technique for segmenting data into non-overlapping subsets. It is used in many machine learning applications (e.g., von Luxberg 2007) and was introduced into computer vision by Shi and Malik (2000). The data is defined by a graph with an affinity, or similarity measure, between graph nodes. The computation – to segment the data… (More)

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Cite this paper

@inproceedings{2012Lecture71, title={Lecture 7 1 Spectral Clustering}, author={}, year={2012} }