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Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks

In many machine learning classification problems, datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes, eliminating the redundant and irrelevant ones. Due to the huge size of the search space of...

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Hlavní autoři: Fernando Jimenez, Gracia Sanchez, Jose Palma, Luis Miralles-Pechuan, Juan A. Botia
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2022-01-01
Edice:IEEE Access
Témata:
High-dimensional data
classification
feature ranking
feature selection
machine learning
correlation
On-line přístup:https://ieeexplore.ieee.org/document/9791248/
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