Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering.
Pooja SaigalVaibhav KhannaReshma RastogiPublished in: Neurocomputing (2017)
Keyphrases
- multi category
- spectral clustering
- semi supervised
- pairwise constraints
- clustering method
- sparse data
- kernel learning
- constrained clustering
- normalized cut
- feature space
- support vector
- risk minimization
- label propagation
- unsupervised clustering
- pairwise
- kernel machines
- extreme learning machine
- supervised learning
- data clustering
- unsupervised learning
- support vector machine
- decision trees
- neural network
- clustering algorithm
- similarity matrix
- machine learning
- support vector machine svm
- pattern recognition
- image processing
- label information
- metric learning
- dimension reduction
- class labels
- semi supervised learning
- image segmentation