On Coresets for Clustering in Small Dimensional Euclidean Spaces.
Lingxiao HuangRuiyuan HuangZengfeng HuangXuan WuPublished in: CoRR (2023)
Keyphrases
- euclidean space
- dimensional euclidean space
- data points
- wide class
- riemannian manifolds
- higher dimensional
- k means
- clustering algorithm
- vector space
- shape analysis
- square root
- metric space
- categorical data
- euclidean distance
- multi dimensional
- finite dimensional
- high dimensional data
- geodesic distance
- hilbert space
- probability density function
- x ray
- maximum likelihood
- low dimensional
- feature vectors
- high dimensional