An Improved Multi-Class Spectral Clustering Based on Normalized Cuts.
Diego Hernán Peluffo-OrdóñezCarlos Daniel Acosta-MedinaCésar Germán Castellanos-DomínguezPublished in: CIARP (2012)
Keyphrases
- multi class
- normalized cut
- spectral clustering
- image segmentation
- graph partitioning
- pairwise
- graph cuts
- mean shift
- graph structure
- clustering algorithm
- support vector machine
- multiple classes
- highly correlated
- multi class boosting
- object detection
- multi class classification
- k means
- feature selection
- weighted graph
- binary classifiers
- binary classification
- markov random field
- object segmentation
- high dimensional
- support vector
- similarity measure
- image processing
- error correcting output codes
- data sets
- multi class classifier