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- Spectral_clustering abstract "In multivariate statistics and the clustering of data, 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.".
- Spectral_clustering thumbnail K-means_v.s._Spectral_Clustering.png?width=300.
- Spectral_clustering wikiPageID "13651683".
- Spectral_clustering wikiPageRevisionID "606382022".
- Spectral_clustering hasPhotoCollection Spectral_clustering.
- Spectral_clustering subject Category:Algebraic_graph_theory.
- Spectral_clustering subject Category:Data_clustering_algorithms.
- Spectral_clustering type Abstraction100002137.
- Spectral_clustering type Cognition100023271.
- Spectral_clustering type DataClusteringAlgorithms.
- Spectral_clustering type Datum105816622.
- Spectral_clustering type Information105816287.
- Spectral_clustering type PsychologicalFeature100023100.
- Spectral_clustering comment "In multivariate statistics and the clustering of data, 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.".
- Spectral_clustering label "Spectral clustering".
- Spectral_clustering sameAs m.0h7nlb1.
- Spectral_clustering sameAs Q7575182.
- Spectral_clustering sameAs Q7575182.
- Spectral_clustering sameAs Spectral_clustering.
- Spectral_clustering wasDerivedFrom Spectral_clustering?oldid=606382022.
- Spectral_clustering depiction K-means_v.s._Spectral_Clustering.png.
- Spectral_clustering isPrimaryTopicOf Spectral_clustering.
