Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3014916
Abstract: Recently, multilabel classification algorithms play an increasingly significant role in data mining and machine learning. However, some existing mutual information-based algorithms ignore the influence of the proportions of labels on the correlation degree between features… read more here.
Keywords: relieff; mutual information; multilabel classification; multilabel ... See more keywords
A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2872811
Abstract: Feature selection problems often appear in the application of data mining, which have been difficult to handle due to the NP-hard property of these problems. In this study, a simple but efficient hybrid feature selection… read more here.
Keywords: feature selection; method; feature; relieff ... See more keywords
Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Healthcare Engineering"
DOI: 10.1155/2021/5577636
Abstract: Multilabel recognition of morphological images and detection of cancerous areas are difficult to locate in the scenario of the image redundancy and less resolution. Cancerous tissues are incredibly tiny in various scenarios. Therefore, for automatic… read more here.
Keywords: classification; system; implementing multilabeling; relieff ... See more keywords
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS
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DOI: 10.1186/s13040-018-0186-4
Abstract: BackgroundReliefF is a nearest-neighbor based feature selection algorithm that efficiently detects variants that are important due to statistical interactions or epistasis. For categorical predictors, like genotypes, the standard metric used in ReliefF has been a… read more here.
Keywords: relieff; transition transversion; feature selection;