TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations.
Yu WangNatalie KleinSteven MorleyVania JordanovaMichael HendersonAyan BiswasEarl LawrencePublished in: DRBSD@SC (2021)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- high dimensional
- singular value decomposition
- feature extraction
- dimension reduction methods
- principle component analysis
- dimensionality reduction
- manifold learning
- high dimensional problems
- linear discriminant analysis
- random projections
- unsupervised learning
- lower dimensional
- data mining and machine learning
- feature space
- sparse metric learning
- high dimensionality
- high dimensional data
- feature selection
- cluster analysis
- principal components
- partial least squares
- discriminative information
- face recognition
- image sequences
- neural network
- independent component analysis
- covariance matrix
- face images
- feature subspace
- real world
- high dimensional data analysis