Data stream dynamic clustering supported by Markov chain isomorphisms.
Marcelo Keese AlbertiniRodrigo Fernandes de MelloPublished in: Intell. Data Anal. (2013)
Keyphrases
- markov chain
- steady state
- data streams
- transition probabilities
- finite state
- state space
- markov process
- stationary distribution
- clustering algorithm
- random walk
- monte carlo
- markov model
- high level declarative
- monte carlo simulation
- transition matrix
- stochastic process
- outlier detection
- k means
- algo rithm
- monte carlo method
- stream clustering
- sliding window
- topic models
- gibbs sampler
- reinforcement learning