A Non-iterative Partial Least Squares Algorithm for Supervised Learning with Collinear Data.
S. Joe QinPublished in: CDC (2021)
Keyphrases
- learning algorithm
- supervised learning
- input data
- data sets
- training data
- preprocessing
- partial least squares
- k means
- statistical analysis
- data analysis
- data points
- probabilistic model
- missing data
- markov random field
- similarity measure
- expectation maximization
- em algorithm
- parameter estimation
- clustering method
- high dimensional data
- active learning