An Excited Binary Grey Wolf Optimizer for Feature Selection in Highly Dimensional Datasets

Segera, Davies; Mbuthia, Mwangi; Nyete, Abraham

doi:10.5220/0009805101250133

Cited by 1 publication

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“…( 3). Excited binary grey wolf optimizer (EBGWO) (Segera et al, 2020) utilized S-shaped transfer function in Eq. ( 4) and Binary Moth Flame Optimization Algorithm (BMFO) (Khurma et al, 2020), which utilized S-shaped transfer function in Eq.…”

Section: S-shaped Transfer Functionmentioning

confidence: 99%

A Survey of Feature Selection Strategies for DNA Microarray Classification

2023

CEIS

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Classification tasks are difficult and challenging in the bioinformatics field, that used to predict or diagnose patients at an early stage of disease by utilizing DNA microarray technology. However, crucial characteristics of DNA microarray technology are a large number of features and small sample sizes, which means the technology confronts a "dimensional curse" in its classification tasks because of the high computational execution needed and the discovery of biomarkers difficult. To reduce the dimensionality of features to find the significant features that can employ feature selection algorithms and not affect the performance of classification tasks. Feature selection helps decrease computational time by removing irrelevant and redundant features from the data. The study aims to briefly survey popular feature selection methods for classifying DNA microarray technology, such as filters, wrappers, embedded, and hybrid approaches. Furthermore, this study describes the steps of the feature selection process used to accomplish classification tasks and their relationships to other components such as datasets, crossvalidation, and classifier algorithms. In the case study, we chose four different methods of feature selection on two-DNA microarray datasets to evaluate and discuss their performances, namely classification accuracy, stability, and the subset size of selected features.

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Section: S-shaped Transfer Functionmentioning

confidence: 99%

A Survey of Feature Selection Strategies for DNA Microarray Classification

2023

CEIS

View full text Add to dashboard Cite

show abstract

An Excited Binary Grey Wolf Optimizer for Feature Selection in Highly Dimensional Datasets

Cited by 1 publication

References 0 publications

A Survey of Feature Selection Strategies for DNA Microarray Classification

A Survey of Feature Selection Strategies for DNA Microarray Classification

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