Study on Mutual Information and Fractal Dimension-Based Unsupervised Feature Parameters Selection: Application in UAVs

Study on Mutual Information and Fractal Dimension-Based Unsupervised Feature Parameters Selection: Application in UAVs

In this study, due to the redundant and irrelevant features contained in the multi-dimensional feature parameter set, the information fusion performance of the subspace learning algorithm was reduced. To solve the above problem, a mutual information (MI) and fractal dimension-based unsupervised feat...

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Bibliographic Details
Main Authors: Xiaohong Wang, Yidi He, Lizhi Wang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
unsupervised feature selection
feature extraction
mutual information
fractal dimension
subspace learning algorithm
Online Access:http://www.mdpi.com/1099-4300/20/9/674

Internet

http://www.mdpi.com/1099-4300/20/9/674

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