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Sparse feature learning for multi-class Parkinson’s disease classification
This paper solves the multi-class classification problem for Parkinson’s disease (PD) analysis by a sparse discriminative feature selection framework. Specifically, we propose a framework to construct a least square regression model based on the Fisher’s linear discriminant analysis (LDA) and locali...
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| Publicado no: | Technol Health Care |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOS Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6004973/ https://ncbi.nlm.nih.gov/pubmed/29710748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/THC-174548 |
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