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Statements

Subject Item

dbr:Spectral_clustering

rdfs:label

Spectral clustering

rdfs:comment

In multivariate statistics, spectral clustering techniques make use of the 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 image segmentation, spectral clustering is known as segmentation-based object categorization.

owl:sameAs

freebase:m.0h7nlb1 yago-res:Spectral_clustering

dct:subject

dbc:Algebraic_graph_theory dbc:Cluster_analysis_algorithms

prov:wasDerivedFrom

n9:Spectral_clustering?oldid=1070473559&ns=0

dbo:wikiPageID

13651683

dbo:wikiPageLength

18800

dbo:wikiPageRevisionID

1070473559

dbo:abstract

In multivariate statistics, spectral clustering techniques make use of the 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 image segmentation, spectral clustering is known as segmentation-based object categorization.

foaf:isPrimaryTopicOf

n9:Spectral_clustering