Neighbor embedding XOM for dimension reduction and visualization.
Kerstin BunteBarbara HammerThomas VillmannMichael BiehlAxel WismüllerPublished in: Neurocomputing (2011)
Keyphrases
- dimension reduction
- manifold embedding
- multidimensional scaling
- low dimensional
- generative topographic mapping
- principal component analysis
- cluster analysis
- high dimensional
- feature extraction
- high dimensional problems
- high dimensional data
- data mining and machine learning
- manifold learning
- nearest neighbor
- random projections
- variable selection
- unsupervised learning
- singular value decomposition
- feature selection
- data analysis
- linear discriminant analysis
- feature space
- dimensionality reduction
- high dimensionality
- self organizing maps
- discriminative information
- vector space
- preprocessing
- image processing
- neural network
- high dimensional data analysis
- dimension reduction methods
- data points
- training data
- computer vision
- machine learning