PROMETHEE‐based hybrid feature selection technique for high‐dimensional biomedical data: application to Parkinson's disease classification-Reference-Cited by-同舟云学术

PROMETHEE‐based hybrid feature selection technique for high‐dimensional biomedical data: application to Parkinson's disease classification

Published:2020-10-22 Issue:25 Volume:56 Page:1403-1406
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Chaudhuri A.¹,Sahu T.P.¹

Affiliation:

1. Department of Information TechnologyNational Institute of TechnologyRaipurChhattisgarhIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2020.2517

Reference9 articles.

1. Decision making in the manufacturing environment using an improved PROMETHEE method

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3. Binary dragonfly optimization for feature selection using time-varying transfer functions

4. A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

5. S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization

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