Locally linear embedding based on correntropy measure for visualization and classification.
Genaro Daza-SantacolomaGermán Castellanos-DomínguezJosé C. PríncipePublished in: Neurocomputing (2012)
Keyphrases
- pattern recognition
- classification accuracy
- feature mapping
- locally linear embedding
- manifold learning
- high dimensional data
- support vector
- data analysis
- feature space
- support vector machine svm
- image classification
- dimensionality reduction
- learning algorithm
- nonlinear dimensionality reduction
- feature extraction
- support vector machine
- machine learning
- training set
- decision trees
- low dimensional
- feature vectors
- dimensional data
- dimensionality reduction methods
- feature selection
- similarity measure