Comparison of Supervised Learning Algorithms on a 5G Dataset Reduced via Principal Component Analysis (PCA).
Joan D. Gonzalez-FrancoJorge E. Preciado-VelascoJosé Eleno Lozano-RizkRaúl Rivera-RodríguezJorge Torres-RodriguezMiguel A. Alonso-ArévaloPublished in: Future Internet (2023)
Keyphrases
- principal component analysis
- supervised learning algorithms
- principal components
- dimensionality reduction
- covariance matrix
- face recognition
- independent component analysis
- linear discriminant analysis
- low dimensional
- supervised learning
- feature extraction
- feature space
- learning algorithm
- face images
- unlabeled data
- machine learning algorithms
- high dimensional data
- benchmark datasets
- feature set
- support vector