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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Detalles Bibliográficos
Autores principales: Wang, Xiaohong, He, Yidi, Wang, Lizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513199/
https://www.ncbi.nlm.nih.gov/pubmed/33265763
http://dx.doi.org/10.3390/e20090674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513199/
https://www.ncbi.nlm.nih.gov/pubmed/33265763
http://dx.doi.org/10.3390/e20090674

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