Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen).
Kerstin BuntePublished in: Künstliche Intell. (2012)
Keyphrases
- dimension reduction
- dissimilarity measure
- feature space
- principal component analysis
- high dimensional
- feature extraction
- data mining and machine learning
- low dimensional
- linear discriminant analysis
- high dimensional problems
- high dimensional data
- feature selection
- partial least squares
- singular value decomposition
- high dimensionality
- dimensionality reduction
- cluster analysis
- random projections
- high dimensional data analysis
- dissimilarity representation
- discriminative information
- data analysis
- clustering method
- distance measure
- manifold learning
- similarity measure
- unsupervised learning
- supervised learning
- neural network
- support vector machine svm
- dynamic programming
- feature vectors
- pairwise
- preprocessing
- manifold embedding
- image sequences