Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.
Bhanukiran VinzamuriKarthik K. PadtheChandan K. ReddyPublished in: ICDM (2016)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensions
- high dimensional
- high dimensionality
- data sets
- similarity search
- data points
- input space
- subspace clustering
- data analysis
- data distribution
- dimension reduction
- high dimensional datasets
- nonlinear dimensionality reduction
- sparse representation
- high dimensional spaces
- clustering high dimensional data
- low rank
- original data
- input data
- lower dimensional
- feature vectors
- high dimensional data sets
- manifold learning
- variable selection
- preprocessing step
- linear discriminant analysis
- dimensional data
- missing values
- locally linear embedding
- principal component analysis
- real world
- text data