439 search results - page 11 / 88 » Alignment using Spectral Clusters |
BMCBI
2005
13 years 10 months ago
2005
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
COLT
2004
Springer
14 years 3 months ago
2004
Springer
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
AUSAI
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
DILS
2008
Springer
13 years 11 months ago
2008
Springer
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
PAMI
2011
13 years 5 months ago
2011
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...