Random projections versus random selection of features for classification of high dimensional data.
Sachin MylavarapuAta KabánPublished in: UKCI (2013)
Keyphrases
- high dimensional data
- high dimensionality
- random projections
- dimensionality reduction
- dimension reduction
- feature space
- feature extraction
- random selection
- low dimensional
- high dimensional
- original data
- feature vectors
- dimensionality reduction methods
- lower dimensional
- classification accuracy
- feature selection
- feature set
- pattern recognition
- data points
- nearest neighbor
- principal component analysis
- similarity search
- data sets
- sparse representation
- linear discriminant analysis
- data distribution
- svm classifier
- microarray
- decision trees
- training samples
- benchmark datasets
- support vector
- preprocessing
- randomly selected
- training set
- test set
- support vector machine svm
- image classification
- data analysis
- active learning
- kernel function
- unsupervised learning
- neural network