2021
DOI: 10.1016/j.chemolab.2021.104305
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Clustering-based hybrid feature selection approach for high dimensional microarray data

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Cited by 16 publications
(2 citation statements)
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“…Furthermore, a non-dominated sorting operator cuts down the selection operator's time consumption, with the method's efficacy tested on 20 UCI datasets. Annavarapu and Dara (2021) proposed a hybrid method for microarray data feature selection. Their approach combined a k-mean clustering algorithm with a signal-to-noise ratio ranking.…”
Section: Wrapper Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, a non-dominated sorting operator cuts down the selection operator's time consumption, with the method's efficacy tested on 20 UCI datasets. Annavarapu and Dara (2021) proposed a hybrid method for microarray data feature selection. Their approach combined a k-mean clustering algorithm with a signal-to-noise ratio ranking.…”
Section: Wrapper Methodsmentioning
confidence: 99%
“…Hybrid feature selection methods have been extensively studied and proven to be effective on microarray data to address the above issues (Momenzadeh et al 2019;Lin et al 2019;Wang et al 2022;Wan et al 2016;Ouadfel and Abd Elaziz 2022;Zhang et al 2020;Annavarapu and Dara 2021;Peng et al 2013). These reports will be described in detail in the related work section.…”
Section: Introductionmentioning
confidence: 99%