Testing for independence of high-dimensional variables: ρV-coefficient based approach.
Masashi HyodoTakahiro NishiyamaTatjana PavlenkoPublished in: J. Multivar. Anal. (2020)
Keyphrases
- high dimensional
- variable selection
- similarity search
- dimensionality reduction
- conditional dependence
- sparse data
- high dimensional data
- high dimensional problems
- multi modal
- feature space
- test cases
- high dimensionality
- dependence structure
- microarray data
- relevant variables
- input variables
- gene expression data
- metric space
- noisy data
- causal relationships
- machine learning
- independence assumption
- high dimensional datasets
- multi dimensional
- data points
- feature extraction
- database systems