Kernel Recursive Least Squares Algorithm Based on the Nystr${\rm {{\ddot{\bf {o}}}}}$m Method With $k$-Means Sampling.
Tao ZhangShiyuan WangXuewei HuangLei JiaPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- k means
- recursive least squares
- clustering method
- cost function
- optimization algorithm
- spectral clustering
- computationally efficient
- filtering algorithm
- support vector machine svm
- neuro fuzzy
- data clustering
- kalman filtering
- expectation maximization
- support vector machine
- clustering algorithm
- filtering method
- learning algorithm
- convergence rate
- kalman filter
- levenberg marquardt
- gradient method
- probabilistic model
- training algorithm
- kernel matrix
- regression model
- parameter estimation
- wavelet analysis
- artificial neural networks
- support vector
- low rank approximation