Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
Mahsa GhasemiAbolfazl HashemiHaris VikaloUfuk TopcuPublished in: CoRR (2019)
Keyphrases
- markov chain
- nonnegative matrix factorization
- low dimensional
- principal component analysis
- negative matrix factorization
- data representation
- matrix factorization
- transition probabilities
- high dimensional
- dimensionality reduction
- state space
- markov processes
- least squares
- random walk
- high dimensional data
- probabilistic automata
- document clustering
- spectral clustering
- transition matrix
- objective function
- data points
- bregman divergences
- image classification
- signal processing
- feature space