Circular convolution-based feature extraction algorithm for classification of high-dimensional datasets

High-dimensional data analysis has become the most challenging task nowadays. Dimensionality reduction plays an important role here. It focuses on data features, which have proved their impact on accuracy, execution time, and space requirement. In this study, a dimensionality reduction method is pro...

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Auteurs principaux: Tajanpure Rupali, Muddana Akkalakshmi
Format: article
Langue:EN
Publié: De Gruyter 2021
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Accès en ligne:https://doaj.org/article/e2cd7872f64c48ff9166c079fd85fa5f
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