Pages that link to "Item:Q2858834"
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The following pages link to A Gaussian mixture model based \(k\)-means to initialize the EM algorithm (Q2858834):
Displaying 11 items.
- Initializing the EM algorithm in Gaussian mixture models with an unknown number of components (Q434890) (← links)
- A robust EM clustering algorithm for Gaussian mixture models (Q437776) (← links)
- Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models (Q951824) (← links)
- Choosing initial values for the EM algorithm for finite mixtures (Q951825) (← links)
- GAKREM: A novel hybrid clustering algorithm (Q955234) (← links)
- Improved model-based clustering performance using Bayesian initialization averaging (Q1729337) (← links)
- Computational aspects of fitting mixture models via the expectation-maximization algorithm (Q1927163) (← links)
- Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in \(O(\sqrt{n})\) iterations (Q2113265) (← links)
- An effective strategy for initializing the EM algorithm in finite mixture models (Q2418282) (← links)
- Improved initialisation of model-based clustering using Gaussian hierarchical partitions (Q2418409) (← links)
- EM for mixtures (Q5963775) (← links)
