Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data.
Bojun YanCarlotta DomeniconiPublished in: ECML (2006)
Keyphrases
- semi supervised
- subspace learning
- metric learning
- discriminative subspace
- semi supervised dimensionality reduction
- semi supervised learning
- pairwise
- low dimensional
- unlabeled data
- labeled data
- active learning
- multi view
- feature space
- ensemble learning
- decision trees
- semi supervised classification
- manifold learning
- ensemble methods
- supervised learning
- dimensionality reduction
- principal component analysis
- subspace clustering
- high dimensional
- semi supervised clustering
- linear subspace
- similarity metric
- co training
- unsupervised learning
- evaluation metrics
- distance metric
- distance measure
- lower dimensional
- low rank
- spectral clustering
- pairwise constraints
- classifier ensemble
- subspace methods
- sparse representation
- high dimensional data