Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data.
Songjie XieYoulong WuKewen LiaoLu ChenChengfei LiuHaifeng ShenMingJian TangLu SunPublished in: ICDE (2023)
Keyphrases
- subspace clustering
- high dimensional data
- dimensionality reduction
- subspace clusters
- nearest neighbor
- high dimensionality
- clustering high dimensional data
- high dimensional
- data sets
- low dimensional
- similarity search
- data analysis
- data points
- original data
- dimension reduction
- input data
- high dimensional spaces
- input space
- linear discriminant analysis
- lower dimensional
- high dimensional feature spaces
- subspace projections
- data distribution
- data sources
- manifold learning
- dimensional data
- small sample size
- complex data
- text data
- euclidean distance
- high dimensional datasets
- training set
- data streams
- computer vision
- data mining