BSSReduce an O(|U|) Incremental Feature Selection Approach for Large-Scale and High-Dimensional Data.
Ke GongYong WangMaozeng XuZhi XiaoPublished in: IEEE Trans. Fuzzy Syst. (2018)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- dimension reduction
- nearest neighbor
- low dimensional
- high dimensional
- gene expression data
- data sets
- high dimensions
- similarity search
- subspace clustering
- data analysis
- data points
- feature space
- small sample size
- input space
- data distribution
- original data
- clustering high dimensional data
- high dimensional datasets
- high dimensional spaces
- linear discriminant analysis
- manifold learning
- input data
- variable selection
- lower dimensional
- subspace learning
- feature extraction
- microarray data
- feature subset
- high dimensional data sets
- missing values
- text categorization
- machine learning
- sparse representation
- support vector machine
- support vector
- real world
- feature selection algorithms
- selected features
- principal component analysis
- dimensional data
- knn
- data streams
- face recognition
- underlying manifold