Gaussian Mixture Model Clustering with Incomplete Data.
Yi ZhangMiaomiao LiSiwei WangSisi DaiLei LuoEn ZhuHuiying XuXinzhong ZhuChaoyun YaoHaoran ZhouPublished in: ACM Trans. Multim. Comput. Commun. Appl. (2021)
Keyphrases
- gaussian mixture model
- incomplete data
- em algorithm
- expectation maximization
- mixture model
- speaker clustering
- learning bayesian networks
- density estimation
- k means
- bayesian information criterion
- bayesian networks
- speaker recognition
- maximum likelihood
- missing data
- gaussian mixture
- clustering algorithm
- unsupervised learning
- generative model
- speaker identification
- missing values
- probability density function
- gaussian distribution
- maximum likelihood estimation
- feature vectors
- computer vision
- gaussian mixture modeling
- incomplete data sets
- cluster analysis
- background subtraction
- reinforcement learning
- typical testors
- discriminant analysis
- closed form
- high dimensional data
- probabilistic model
- pairwise
- feature space