Discriminative Similarity for Clustering and Semi-Supervised Learning.
Yingzhen YangFeng LiangNebojsa JojicShuicheng YanJiashi FengThomas S. HuangPublished in: CoRR (2017)
Keyphrases
- semi supervised learning
- unsupervised learning
- semi supervised
- discriminative models
- unlabeled data
- semi supervised clustering
- labeled data
- supervised learning
- semi supervised classification
- clustering method
- co training
- similarity measure
- machine learning
- manifold regularization
- clustering algorithm
- graph construction
- dirichlet process mixture models
- active learning
- constrained clustering
- semi supervised learning algorithms
- data clustering
- k means
- pairwise constraints
- distance measure
- distance metric
- cluster analysis
- training data
- graph based semi supervised learning
- label propagation
- transfer learning
- document clustering
- learning models
- similarity graph
- dimensionality reduction
- feature extraction
- unlabeled samples
- pairwise
- generative model
- unsupervised clustering
- distance function
- labeled and unlabeled data
- data points
- reinforcement learning
- metric learning
- semi supervised learning methods
- spectral clustering
- euclidean distance
- expectation maximization