Prediction of Parkinson's Disease using Principal Component Analysis and the Markov Chains.
Syed Qasim Afser RizviPin LiuGuojun WangMuhammad ArifPublished in: iSCI (2020)
Keyphrases
- markov chain
- principal component analysis
- transition probabilities
- steady state
- finite state
- monte carlo
- probabilistic automata
- markov processes
- random walk
- markov process
- stationary distribution
- stochastic process
- monte carlo simulation
- principal components
- state space
- monte carlo method
- markov model
- outbreak detection
- sample path
- transition matrix
- assemble to order systems
- face recognition
- covariance matrix
- dimensionality reduction
- feature extraction
- feature space
- objective function