Maximum Likelihood Estimates and a Kernel k-Means Iterative Algorithm for Normal Mixtures.
Bernd-Jürgen FalkowskiPublished in: IECON (2020)
Keyphrases
- k means
- expectation maximization
- learning algorithm
- support vector
- computer vision
- parameter estimation
- em algorithm
- search space
- maximum likelihood
- maximum likelihood estimates
- spectral clustering
- least squares
- dynamic programming
- similarity measure
- higher order
- probabilistic model
- computational complexity
- reinforcement learning
- image processing