An optimized unsupervised manifold learning algorithm for manycore architectures.
Alexandro BaldassinYing WengDaniel Carlos Guimarães PedronetteJurandy AlmeidaPublished in: Inf. Sci. (2019)
Keyphrases
- manifold learning algorithm
- manifold learning
- dimensionality reduction
- semi supervised
- parallel architectures
- low dimensional
- unsupervised learning
- locally linear embedding
- supervised learning
- pattern recognition
- principal component analysis
- data sets
- dimension reduction
- support vector machine
- linear discriminant analysis
- data structure
- feature selection