Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties.
Vladimir B. BerikovAlexander LitvinenkoPublished in: CoRR (2019)
Keyphrases
- low rank
- matrix decomposition
- semi supervised
- cluster ensemble
- semi supervised learning
- low rank matrix
- labeled data
- supervised learning
- unlabeled data
- active learning
- ensemble methods
- kernel matrix
- clustering algorithm
- unsupervised learning
- graph partitioning
- pairwise
- data clustering
- data matrix
- pairwise constraints
- k means
- missing data
- singular values
- convex optimization
- singular value decomposition
- linear combination
- generative model
- low rank approximation
- subspace learning
- matrix factorization
- data representation
- topic models
- training data