Semi-Supervised Clustering via Markov Chain Aggregation.
Sophie StegerBernhard C. GeigerMarek SmiejaPublished in: CoRR (2021)
Keyphrases
- markov chain
- semi supervised clustering
- semi supervised
- metric learning
- unsupervised clustering
- transition probabilities
- semi supervised learning
- pairwise constraints
- background knowledge
- monte carlo
- semi supervised classification
- random walk
- nonnegative matrix factorization
- k means
- state space
- monte carlo method
- clustering algorithm
- pairwise
- transition matrix
- supervised learning
- least squares
- data mining
- supervised classification
- document clustering
- loss function