Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm.
Ossi KaltiokallioRoland HostettlerHüseyin YigitlerMikko ValkamaPublished in: Sensors (2021)
Keyphrases
- unsupervised learning
- em algorithm
- expectation maximization
- mixture model
- finite mixture models
- maximum likelihood
- maximum likelihood estimation
- probabilistic model
- generative model
- parameter estimation
- gaussian mixture model
- gaussian mixture
- likelihood function
- expectation maximisation
- finite mixture model
- density estimation
- hidden variables
- image segmentation
- incomplete data
- bayesian framework
- maximum a posteriori
- dimensionality reduction
- supervised learning
- k means
- likelihood maximization
- machine learning
- probability density function
- model based clustering
- log likelihood function
- minimum message length
- log likelihood
- matrix factorisation
- latent dirichlet
- feature extraction
- mixture modeling
- bayesian networks
- object recognition