Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data.
Ali BrayteeWei LiuPaul J. KennedyPublished in: IJCNN (2017)
Keyphrases
- context aware
- negative matrix factorization
- biomedical data
- high dimensional
- knowledge driven
- context awareness
- ubiquitous computing
- mobile devices
- data mining methods
- ambient intelligence
- principal component analysis
- matrix factorization
- sparse representation
- dimensionality reduction
- document clustering
- low dimensional
- learning algorithm
- spectral clustering
- smart home
- supervised learning
- data mining technology
- life sciences
- multi source
- unsupervised learning
- systems biology
- information extraction
- semi supervised
- similarity measure
- nearest neighbor
- high dimensionality
- databases
- data management
- machine learning