Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data.
Arnab ChakrabartiAbhijeet DasMichael CochezChristoph QuixPublished in: ADBIS (2021)
Keyphrases
- high dimensional data
- unsupervised feature selection
- dimensionality reduction
- feature selection
- cluster structure
- nearest neighbor
- original data
- high dimensional
- low dimensional
- high dimensionality
- data clustering
- data matrix
- dimension reduction
- subspace clustering
- similarity search
- data sets
- data points
- data analysis
- data distribution
- low rank
- sparse representation
- missing values
- linear discriminant analysis
- pattern recognition
- feature extraction
- manifold learning
- euclidean distance
- principal components
- gene expression data
- singular value decomposition
- data representation
- unsupervised learning
- knowledge discovery
- pairwise
- machine learning