Sparsistent filtering of comovement networks from high-dimensional data.
Arnab ChakrabartiAnindya S. ChakrabartiPublished in: CoRR (2021)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- high dimensionality
- data sets
- dimensionality reduction
- high dimensional
- high dimensions
- data analysis
- data points
- subspace clustering
- similarity search
- complex data
- manifold learning
- original data
- linear discriminant analysis
- high dimensional datasets
- data distribution
- high dimensional spaces
- nonlinear dimensionality reduction
- dimension reduction
- dimensional data
- sparse representation
- input space
- clustering high dimensional data
- gene expression data
- subspace learning
- lower dimensional
- variable selection
- knn
- query processing
- training set
- high dimensional data sets
- similarity measure