Supercm: Revisiting Clustering for Semi-Supervised Learning.
Durgesh SinghAhcène BoubekkiRobert JenssenMichael C. KampffmeyerPublished in: ICASSP (2023)
Keyphrases
- semi supervised learning
- unsupervised learning
- semi supervised
- unlabeled data
- semi supervised clustering
- labeled data
- clustering algorithm
- supervised learning
- semi supervised classification
- dirichlet process mixture models
- instance level constraints
- co training
- manifold regularization
- graph construction
- machine learning
- data points
- clustering method
- k means
- label propagation
- learning models
- semi supervised learning algorithms
- transfer learning
- cluster analysis
- training data
- pairwise constraints
- improve the classification accuracy
- domain adaptation
- document clustering
- unsupervised clustering
- spectral clustering
- text classification
- active learning
- pairwise
- labeled and unlabeled data
- data clustering
- multi view
- dimensionality reduction
- semi definite programming
- semi supervised learning methods
- graph based semi supervised learning
- feature selection