A graph optimization method for dimensionality reduction with pairwise constraints.
Limei ZhangLishan QiaoPublished in: Int. J. Mach. Learn. Cybern. (2017)
Keyphrases
- optimization method
- pairwise constraints
- dimensionality reduction
- graph embedding
- data representation
- kernel learning
- semi supervised
- optimization algorithm
- metric learning
- pairwise
- genetic algorithm
- differential evolution
- simulated annealing
- evolutionary algorithm
- spectral clustering
- low dimensional
- principal component analysis
- labeled data
- metaheuristic
- nelder mead simplex
- feature extraction
- document clustering
- principal components
- loss function
- decision boundary
- data points
- unlabeled data
- high dimensional
- high dimensional data
- neural network
- distance metric
- unsupervised learning
- feature space
- pattern recognition
- euclidean distance
- semi supervised learning
- data clustering
- nearest neighbor
- probabilistic model
- search space
- similarity matrix
- objective function
- training data
- data sets