Principal component analysis and clustering on manifolds.
Kanti V. MardiaHenrik WiechersBenjamin EltznerStephan F. HuckemannPublished in: J. Multivar. Anal. (2022)
Keyphrases
- principal component analysis
- clustering algorithm
- low dimensional
- k means
- high dimensional data
- clustering method
- dimension reduction
- hierarchical clustering
- dimensionality reduction
- cluster analysis
- manifold learning
- independent component analysis
- covariance matrix
- feature space
- principal components
- graph theoretic
- document clustering
- discriminant analysis
- computer vision
- singular value decomposition
- information theoretic
- outlier detection
- unsupervised learning
- high dimensional
- face recognition
- neural network
- linear discriminant analysis
- data clustering
- spectral clustering
- image segmentation
- subspace clustering
- lower dimensional
- locally linear embedding