Testing block-diagonal covariance structure for high-dimensional data under non-normality.
Yuki YamadaMasashi HyodoTakahiro NishiyamaPublished in: J. Multivar. Anal. (2017)
Keyphrases
- high dimensional data
- block diagonal
- low dimensional
- dimensionality reduction
- high dimensional
- nearest neighbor
- data sets
- high dimensionality
- similarity search
- data points
- subspace clustering
- manifold learning
- data analysis
- dimension reduction
- variable selection
- nonlinear dimensionality reduction
- input data
- neural network
- machine learning
- feature space
- high dimensional spaces
- locally linear embedding
- manifold structure