Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers.
Yijia ZhouKyle A. GallivanAdrian BarbuPublished in: CoRR (2023)
Keyphrases
- unsupervised learning
- gaussian mixture model
- mixture model
- expectation maximization
- finite mixture models
- minimum message length
- finite mixtures
- density estimation
- em algorithm
- semi supervised
- speaker recognition
- outlier detection
- k means
- object recognition
- supervised learning
- self organizing maps
- maximum likelihood
- data points
- machine learning
- dimensionality reduction
- feature vectors
- mixture modeling
- feature space
- information retrieval
- clustering algorithm
- probability density function
- probability density
- bayesian information criterion
- speaker identification
- missing data
- text classification
- model based clustering
- model selection
- gaussian mixture
- feature selection
- gaussian distribution
- hierarchical clustering
- covariance matrices
- variational bayes
- low level
- reinforcement learning
- pattern recognition