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Maximum likelihood approach to parameter selection in the spectral clustering algorithm
Last modified: 2023-07-05
Abstract
Automatic selection of the parameter in the spectral clustering algorithm through the mixture model approach has been considered. Specifically, a maximum likelihood approach using the Gaussian mixture model to select the proximity parameter in the self-tuning kernel function has been introduced.