Dimensionality Reduction for Hierarchical Multi-Label Classification: A Systematic Mapping Study

Hierarchical multi-label classification problems typically deal with datasets with many attributes and labels, which can negatively impact the classifier performance. The application of dimensionality reduction methods can significantly improve the performance of classifiers. Dimensionality reductio...

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Bibliographic Details
Main Authors: Raimundo Osvaldo Vieira, Helyane Bronoski Borges
Format: Article
Language:English
Published: Graz University of Technology 2024-01-01
Series:Journal of Universal Computer Science
Subjects:
Online Access:https://lib.jucs.org/article/91309/download/pdf/