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...

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Bibliographic Details
Main Author: Teixeira, João Paulo (author)
Other Authors: Dajer, Maria (author), Oliveira, Alessa Anjos de (author)
Format: conferenceObject
Language:por
Published: 2022
Subjects:
Acoustic parameters
Clustering
Hierarchical clustering
Kohonen's self-organizing maps
Unsupervised artificial neural networks
Voice pathologies
Online Access:http://hdl.handle.net/10198/24674
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/24674

Internet

http://hdl.handle.net/10198/24674

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