Uncertainty quantification for stochastic subspace identification on multi-setup measurements.
Michael DöhlerXuan-Binh LamLaurent MevelPublished in: CDC/ECC (2011)
Keyphrases
- stochastic nature
- measurement noise
- measurement errors
- measurement error
- subspace clustering
- clustering high dimensional data
- stochastic optimization
- uncertain data
- incomplete information
- feature extraction
- feature space
- high dimensional
- data sets
- subspace learning
- automatic identification
- low dimensional
- robust optimization
- inherent uncertainty
- stochastic simulation
- hidden markov models
- dimensionality reduction
- monte carlo
- stochastic model
- quantitative evaluation
- clustering method
- high dimensional data