Dimension Reduction Stacking for Deep Solar Wind Clustering.
Daniel T. CarpenterHenry HanLiang ZhaoPublished in: SDSC (2023)
Keyphrases
- dimension reduction
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- high dimensionality
- high dimensional
- low dimensional
- feature extraction
- high dimensional problems
- principal component analysis
- manifold learning
- clustering algorithm
- k means
- data mining and machine learning
- variable selection
- clustering method
- linear discriminant analysis
- dimensionality reduction
- feature subspace
- random projections
- singular value decomposition
- data clustering
- data mining
- feature space
- feature selection
- partial least squares
- face recognition
- training data
- discriminative information
- distance metric
- object recognition
- data sets
- generative topographic mapping
- principal components analysis
- combining multiple
- preprocessing
- association rules
- data points
- document clustering
- discriminant analysis