Reinforced EM Algorithm for Clustering with Gaussian Mixture Models.

Joshua Tobin Chin Pang Ho Mimi Zhang

Published in: SDM (2023)

Keyphrases

gaussian mixture model
em algorithm
expectation maximization
mixture model
finite mixture models
model based clustering
k means
mixture modeling
maximum likelihood
density estimation

bayesian information criterion
parameter estimation
maximum likelihood estimation
unsupervised learning
matrix factorisation
gaussian mixture
generative model
probability density function
likelihood function
hyperparameters

finite mixture model
minimum message length
hierarchical clustering
clustering algorithm
probability density
log likelihood
finite mixtures
incomplete data
expectation maximisation

mixture distribution
image segmentation
variational bayes
high dimensional
mixture of gaussians
latent variables
document clustering
data points
feature vectors