A graph based preordonnances theoretic supervised feature selection in high dimensional data.
Hasna ChamlalTayeb OuaderhmanFadwa AaboubPublished in: Knowl. Based Syst. (2022)
Keyphrases
- high dimensional data
- supervised feature selection
- unsupervised learning
- dimensionality reduction
- feature selection
- text classification
- low dimensional
- nearest neighbor
- high dimensional
- high dimensionality
- similarity search
- subspace clustering
- data analysis
- data sets
- data points
- semi supervised
- manifold learning
- sparse representation
- original data
- high dimensional spaces
- high dimensional datasets
- clustering high dimensional data
- knn
- dimensional data
- neural network
- expectation maximization
- learning algorithm
- feature relevance