New heuristics in feature selection for high dimensional data (thesis abstract).
Roberto RuizPublished in: AI Commun. (2007)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- dimension reduction
- low dimensional
- machine learning
- high dimensional
- high dimensions
- nearest neighbor
- subspace clustering
- gene expression data
- data points
- data sets
- data analysis
- original data
- similarity search
- feature space
- high dimensional spaces
- text categorization
- data distribution
- variable selection
- lower dimensional
- high dimensional datasets
- nonlinear dimensionality reduction
- computer vision
- sparse representation
- linear discriminant analysis
- text classification
- feature subset
- manifold learning
- support vector machine
- clustering high dimensional data
- high dimensional data sets
- input data
- support vector
- pattern recognition
- subspace learning
- feature selection algorithms
- small sample size
- feature extraction
- dimensional data
- input space
- feature set
- model selection
- text data
- principal component analysis
- decision trees
- microarray data
- variable weighting