Energy Efficient Medical Data Dimensionality Reduction using Optimized Principal Component Analysis
INTRODUCTION: The method of minimizing the number of random variables or attributes from the enormous data set is the reduction of dimensionality. The space available for storing the database is therefore minimized by decreasing the scale of the features. OBJECTIVES: The PCA algorithm is used...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
European Alliance for Innovation (EAI)
2022
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f7e660bb57134f518b3750de86fc828b |
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