Semi-supervised clustering of large data sets with kernel methods.
Stefan FaußerFriedhelm SchwenkerPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- kernel methods
- semi supervised clustering
- semi supervised
- metric learning
- data sets
- unsupervised clustering
- background knowledge
- kernel function
- pairwise constraints
- semi supervised learning
- learning tasks
- learning problems
- support vector
- semi supervised classification
- feature space
- nonnegative matrix factorization
- machine learning
- labeled data
- k means
- support vector machine
- data analysis
- document clustering
- clustering algorithm
- pairwise
- decision trees