Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity

Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity

Multi-label learning is a technique that assigns multiple class labels to each data instance. The growth of digital technology resulted in the development of high-dimensional applications in real-world scenarios. Feature selection approaches are extensively used to reduce dimensionality in multi-la...

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Bibliographic Details
Main Authors: Sabah Robitan Mahmood, Tahsin Ali Mohammed Amin, Khalid Hassan Ahmed, Rebar Dara Mohammed, Pshtiwan Jabar Karim
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2024-05-01
Series:Kurdistan Journal of Applied Research
Subjects:
Multi-label optimization
Feature selection
Ant Colony
Relevance-redundancy
Generalized Jaccard similarity
Online Access:https://www.spu.edu.iq/kjar/index.php/kjar/article/view/896

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https://www.spu.edu.iq/kjar/index.php/kjar/article/view/896

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