-Center Clustering in Low Dimensional Metrics.
Gramoz GoranciMonika HenzingerDariusz LeniowskiChristian SchulzAlexander SvozilPublished in: ALENEX (2021)
Keyphrases
- low dimensional
- high dimensional data
- data points
- high dimensional
- clustering algorithm
- clustering method
- manifold learning
- dimensionality reduction
- principal component analysis
- multidimensional scaling
- graph theoretic
- cluster analysis
- input space
- subspace clustering
- dimension reduction
- hierarchical clustering
- categorical data
- spectral clustering
- fuzzy clustering
- image processing
- nonlinear dimensionality reduction
- document clustering
- distance metric
- unsupervised learning
- feature space
- video sequences
- image segmentation