filtering of comovement networks from high-dimensional data.
Arnab ChakrabartiAnindya S. ChakrabartiPublished in: J. Comput. Sci. (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensions
- high dimensional
- similarity search
- subspace clustering
- high dimensionality
- data sets
- dimension reduction
- data analysis
- original data
- data points
- data distribution
- input space
- linear discriminant analysis
- clustering high dimensional data
- complex data
- sparse representation
- lower dimensional
- nonlinear dimensionality reduction
- small sample size
- neural network
- manifold learning
- dimensional data
- high dimensional data sets
- gene expression data
- high dimensional spaces
- high dimensional datasets
- input data
- variable selection
- text data
- multi dimensional
- support vector
- image processing