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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Detalles Bibliográficos
Autores principales: Lei, Haijun, Zhao, Yujia, Wen, Yuting, Luo, Qiuming, Cai, Ye, Liu, Gang, Lei, Baiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004973/
https://www.ncbi.nlm.nih.gov/pubmed/29710748
http://dx.doi.org/10.3233/THC-174548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004973/
https://www.ncbi.nlm.nih.gov/pubmed/29710748
http://dx.doi.org/10.3233/THC-174548

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