Model selection in discrete clustering: the EM-MML algorithm
Finite mixture models are widely used for cluster analysis in several areas of application. They are commonly estimated through likelihood maximization (using diverse variants of the expectation-maximization algorithm) and the number of components (or clusters) is determined resorting to information...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2017
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.21/7688 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/7688 |