An Entity of Type: software, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

Spectral layout is a class of algorithm for drawing graphs. The layout uses the eigenvectors of a matrix, such as the Laplace matrix of the graph, as Cartesian coordinates of the graph's vertices. The idea of the layout is to compute the two largest (or smallest) eigenvalues and corresponding eigenvectors of the Laplacian matrix of the graph and then use those for actually placing the nodes.Usually nodes are placed in the 2 dimensional plane. An embedding into more dimensions can be found by using more eigenvectors.In the 2-dimensional case, for a given node which corresponds to the row/column in the (symmetric) Laplacian matrix of the graph, the and -coordinates are the -th entries of the first and second eigenvectors of , respectively.

Property Value
dbo:abstract
  • Spectral layout is a class of algorithm for drawing graphs. The layout uses the eigenvectors of a matrix, such as the Laplace matrix of the graph, as Cartesian coordinates of the graph's vertices. The idea of the layout is to compute the two largest (or smallest) eigenvalues and corresponding eigenvectors of the Laplacian matrix of the graph and then use those for actually placing the nodes.Usually nodes are placed in the 2 dimensional plane. An embedding into more dimensions can be found by using more eigenvectors.In the 2-dimensional case, for a given node which corresponds to the row/column in the (symmetric) Laplacian matrix of the graph, the and -coordinates are the -th entries of the first and second eigenvectors of , respectively. (en)
dbo:wikiPageExternalLink
dbo:wikiPageID
  • 18412684 (xsd:integer)
dbo:wikiPageLength
  • 1677 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1093860094 (xsd:integer)
dbo:wikiPageWikiLink
dbp:wikiPageUsesTemplate
dcterms:subject
gold:hypernym
rdf:type
rdfs:comment
  • Spectral layout is a class of algorithm for drawing graphs. The layout uses the eigenvectors of a matrix, such as the Laplace matrix of the graph, as Cartesian coordinates of the graph's vertices. The idea of the layout is to compute the two largest (or smallest) eigenvalues and corresponding eigenvectors of the Laplacian matrix of the graph and then use those for actually placing the nodes.Usually nodes are placed in the 2 dimensional plane. An embedding into more dimensions can be found by using more eigenvectors.In the 2-dimensional case, for a given node which corresponds to the row/column in the (symmetric) Laplacian matrix of the graph, the and -coordinates are the -th entries of the first and second eigenvectors of , respectively. (en)
rdfs:label
  • Spectral layout (en)
owl:sameAs
prov:wasDerivedFrom
foaf:isPrimaryTopicOf
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License