Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.
Leandro Leonardo Lorente-LeyvaIsrael David Herrera-GrandaPaul D. Rosero-MontalvoKarina L. Ponce-GuevaraAndrés Eduardo Castro-OspinaMiguel A. BecerraDiego Hernán Peluffo-OrdóñezJosé Luis Rodríguez-SoteloPublished in: ISNN (2018)
Keyphrases
- normalized cut
- spectral clustering
- graph partitioning
- clustering algorithm
- clustering method
- data clustering
- k means
- image segmentation
- graph clustering
- similarity graph
- mean shift
- pairwise
- spectral methods
- eigendecomposition
- machine learning
- similarity matrix
- covariance matrix
- unsupervised learning
- graph cuts
- data mining
- highly correlated
- cluster analysis
- negative matrix factorization
- dimensionality reduction
- bipartite graph
- graph structure
- weighted graph
- probabilistic model
- spectral relaxation