Kernel-Based Distance Metric Learning for Supervised k-Means Clustering.
Bac NguyenBernard De BaetsPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- distance metric learning
- semi supervised
- metric learning
- distance metric
- image classification
- gender classification
- nonlinear dimensionality reduction
- supervised learning
- semi supervised learning
- labeled data
- semidefinite programming
- pairwise
- active learning
- learning algorithm
- unsupervised learning
- nearest neighbor classification
- k means
- support vector
- kernel methods
- clustering algorithm
- preprocessing step
- manifold learning
- unlabeled data
- data points
- support vector machine
- dimensionality reduction
- euclidean distance
- component analysis
- training data
- pairwise constraints
- decision trees
- data sets