Clustering pathologic voice with kohonen SOM and hierarchical clustering
The main purpose of clustering voice pathologies is the attempt to form large groups of subjects with similar pathologies to be used with Deep-Learning. This paper focuses on applying Kohonen's Self-Organizing Maps and Hierarchical Clustering to investigate how these methods behave in the clust...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | por |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/24674 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/24674 |