Semi Supervised Relevance Learning for Feature Selection on High Dimensional Data.
Afef Ben BrahimAlexandros KalousisPublished in: AICCSA (2017)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- high dimensionality
- semi supervised
- feature selection
- nearest neighbor
- manifold learning
- low dimensional
- data sets
- active learning
- supervised learning
- unsupervised learning
- dimension reduction
- subspace learning
- learning algorithm
- input space
- high dimensions
- feature extraction
- similarity search
- learning tasks
- gene expression data
- high dimensional datasets
- nonlinear dimensionality reduction
- small sample size
- clustering high dimensional data
- dimensional data
- lower dimensional
- pattern recognition
- support vector
- neural network