A supervised learning approach to the unsupervised clustering of genes.
Andrew K. RiderGeoffrey SiwoScott J. EmrichMichael T. FerdigNitesh V. ChawlaPublished in: BIBM (2010)
Keyphrases
- unsupervised clustering
- supervised learning
- supervised classification
- unsupervised learning
- training data
- learning tasks
- semi supervised clustering
- semi supervised learning
- active learning
- machine learning
- labeled data
- k means
- image segmentation
- reinforcement learning
- training set
- semi supervised
- unlabeled data
- learning algorithm
- semi supervised clustering algorithm
- spectral clustering
- clustering method
- training samples
- class labels
- feature extraction
- decision trees
- clustering algorithm
- model selection
- fuzzy c means
- computer vision
- pairwise constraints
- similarity measure
- data sets
- fuzzy logic