Feature Selection for Heartbeat Classification using Naïve Bayes and K-Nearest Neighbor

This study determined which feature set can best classify heartbeat auditory data using Gaussian Naïve Bayes and K-Nearest Neighbor classifiers. Different feature sets (Low-level, Mel-frequency Cepstral Coefficients, or their combination) were used with the selected machine learning techniques. Resu...

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Detalhes bibliográficos
Main Authors: Claizel Coubeili L. Cepe, Maria Art Antonette D. Clariño
Formato: Artigo
Idioma:Inglês
Publicado em: CICM Philippine School Network 2019-10-01
Colecção:Philippine E-Journal for Applied Research and Development
Assuntos:
machine learning techniques for classifying heartbeat
feature extraction from auditory data
multi-class metrics
feature set comparison
librosa
Acesso em linha:http://pejard.slu.edu.ph/vol.9/2019.10.11.pdf
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