Faster DBSCAN and HDBSCAN in Low-Dimensional Euclidean Spaces.
Mark de BergAde GunawanMarcel RoeloffzenPublished in: Int. J. Comput. Geom. Appl. (2019)
Keyphrases
- euclidean space
- low dimensional
- high dimensional
- higher dimensional
- high dimensional data
- data points
- dimensionality reduction
- manifold learning
- pairwise distances
- wide class
- riemannian manifolds
- principal component analysis
- clustering algorithm
- embedding space
- density based clustering
- vector space
- dimension reduction
- data clustering
- clustering method
- k means
- feature space
- multidimensional scaling
- input space
- shape analysis
- square root
- euclidean distance
- dimensional euclidean space
- cluster analysis
- reproducing kernel hilbert space
- metric space
- computer vision
- medical images
- feature vectors
- face recognition
- image processing