On Coresets for Clustering in Small Dimensional Euclidean spaces.
Lingxiao HuangRuiyuan HuangZengfeng HuangXuan WuPublished in: ICML (2023)
Keyphrases
- euclidean space
- dimensional euclidean space
- data points
- wide class
- clustering algorithm
- riemannian manifolds
- higher dimensional
- shape analysis
- k means
- vector space
- square root
- finite dimensional
- cluster analysis
- categorical data
- high dimensional
- geodesic distance
- metric space
- spectral clustering
- multi dimensional
- pairwise
- euclidean distance
- self organizing maps
- high dimensional data
- data structure
- nearest neighbor
- machine learning