Dboost: A Fast Algorithm for DBSCAN-based Clustering on High Dimensional Data.
Yuxiao ZhangXiaorong WangBingyang LiWei ChenTengjiao WangKai LeiPublished in: PAKDD (2) (2016)
Keyphrases
- high dimensional data
- data points
- high dimensionality
- subspace clustering
- clustering algorithm
- low dimensional
- clustering method
- nearest neighbor
- high dimensional
- high dimensions
- dimensionality reduction
- k means
- clustering high dimensional data
- high dimensional datasets
- similarity search
- high dimensional data sets
- data sets
- data distribution
- original data
- dimension reduction
- data analysis
- density based clustering
- input space
- linear discriminant analysis
- data clustering
- dimensional data
- density based clustering algorithm
- small sample size
- instance level constraints
- spatial clustering
- high dimensional data analysis
- high dimensional spaces
- nonlinear dimensionality reduction
- manifold learning
- lower dimensional
- cluster analysis
- input data
- decision trees
- image processing
- data mining
- real world