Enhancing the selection of a model-based clustering with external categorical variables
In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the da...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.21/5977 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/5977 |