Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines.
Sheng DingLi ChenPublished in: Intell. Inf. Manag. (2010)
Keyphrases
- high dimensional data
- optimization methods
- support vector
- high dimensionality
- classification accuracy
- linear discriminant analysis
- dimension reduction
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- small sample size
- subspace clustering
- clustering high dimensional data
- learning machines
- support vector machine
- simulated annealing
- feature selection
- optimization method
- data sets
- optimization problems
- similarity search
- high dimensional spaces
- multivariate temporal data
- cross validation
- data analysis
- data points
- decision trees
- input space
- lower dimensional
- machine learning
- manifold learning
- kernel function
- pattern recognition
- svm classifier
- loss function
- stochastic methods
- variable selection
- sparse representation
- dimensionality reduction methods
- feature space
- high dimensional data sets
- feature extraction
- dimensional data
- support vector machine svm
- high dimensional datasets