Hypersphere Fitting From Noisy Data Using an EM Algorithm.
Julien LesoupleBarbara PilastreYoann AltmannJean-Yves TourneretPublished in: IEEE Signal Process. Lett. (2021)
Keyphrases
- noisy data
- em algorithm
- parameter estimation
- expectation maximization
- maximum likelihood
- mixture model
- maximum likelihood estimation
- gaussian mixture model
- generative model
- expectation maximisation
- high dimensional
- likelihood function
- missing data
- input data
- noise free
- least squares
- incomplete data
- log likelihood
- gaussian mixture
- mixture modeling
- probabilistic model
- density estimation
- missing values
- high dimensionality
- training data
- mixture distribution
- learning algorithm
- finite mixture models
- model based clustering
- probability density function
- dimensionality reduction
- pattern recognition
- computer vision