Multiobjective feature selection for microarray data via distributed parallel algorithms

Many real-world problems are large in scale and hence difficult to address. Due to the large number of features in microarray datasets, feature selection and classification are even more challenging for such datasets. Not all of these numerous features contribute to the classification task, and some...

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Vydáno v:	Future generation computer systems Ročník 100; s. 952 - 981
Hlavní autoři:	Cao, Bin, Zhao, Jianwei, Yang, Po, Yang, Peng, Liu, Xin, Qi, Jun, Simpson, Andrew, Elhoseny, Mohamed, Mehmood, Irfan, Muhammad, Khan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2019
Témata:	Distributed parallelism Feature redundancy High dimension Microarray dataset Multiobjective feature selection Microarray dataset High dimension Multiobjective feature selection Distributed parallelism Feature redundancy
ISSN:	0167-739X, 1872-7115
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