Feature Selection Using Classifier in High Dimensional Data.
Singh VijendraShivani PathakPublished in: CoRR (2014)
Keyphrases
- high dimensional data
- feature selection
- dimensionality reduction
- high dimensionality
- feature space
- feature set
- low dimensional
- high dimensional
- dimension reduction
- feature selection algorithms
- gene expression data
- similarity search
- data sets
- data points
- subspace clustering
- nearest neighbor
- input data
- input space
- high dimensions
- support vector machine
- feature subset
- text categorization
- high dimensional datasets
- clustering high dimensional data
- linear discriminant analysis
- data analysis
- missing values
- feature weighting
- feature extraction
- data distribution
- subspace learning
- machine learning
- knn
- text data
- manifold learning
- training samples
- variable selection
- text classification
- lower dimensional
- nonlinear dimensionality reduction
- small sample size
- microarray data
- support vector
- high dimensional spaces
- locally linear embedding
- svm classifier
- high dimensional data sets
- informative features
- model selection
- training data