Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation.
Ilias DiakonikolasDaniel M. KaneDaniel KongsgaardJerry LiKevin TianPublished in: CoRR (2021)
Keyphrases
- mixture model
- density estimation
- unsupervised learning
- mixture modeling
- em algorithm
- finite mixture models
- model based clustering
- gaussian mixture model
- expectation maximization
- overlapping clustering
- probabilistic model
- bayesian information criterion
- generative model
- model selection
- clustering algorithm
- maximum likelihood
- clustering method
- probabilistic mixture model
- finite mixtures
- probability density
- density function
- gaussian mixture
- outlier detection
- k means
- cluster analysis
- maximum likelihood estimation
- finite mixture model
- language model
- minimum message length
- parameter estimation
- data mining
- high dimensional
- supervised learning
- probability density function
- information criterion
- hierarchical clustering