Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models.
Leena Chennuru VankadaraSebastian BordtUlrike von LuxburgDebarghya GhoshdastidarPublished in: AISTATS (2021)
Keyphrases
- mixture model
- kernel based clustering
- probability density function
- gaussian mixture model
- em algorithm
- density estimation
- probabilistic model
- generative model
- kernel methods
- expectation maximization
- k means
- kernel function
- maximum likelihood
- language model
- model selection
- reduced set
- unsupervised learning
- gaussian mixture
- mixture modeling
- machine learning
- finite mixtures
- support vector
- training data
- pattern recognition
- neural network
- mixture components
- semi supervised
- text classification
- automatic model selection
- supervised learning