Local-Density Subspace Distributed Clustering for High-Dimensional Data.
Yangli-ao GengQingyong LiMingfei LiangChong-Yung ChiJuan TanHeng HuangPublished in: IEEE Trans. Parallel Distributed Syst. (2020)
Keyphrases
- high dimensional data
- subspace clustering
- low dimensional
- dimensionality reduction
- clustering high dimensional data
- high dimensionality
- data points
- nearest neighbor
- high dimensional
- data sets
- high dimensions
- data analysis
- sparse representation
- lower dimensional
- original data
- high dimensional data sets
- dimension reduction
- data distribution
- input space
- similarity search
- linear discriminant analysis
- low rank
- input data
- subspace learning
- dimensional data
- high dimensional datasets
- nonlinear dimensionality reduction
- dense regions
- subspace clustering algorithms
- low dimensional structure
- clustering method
- clustering algorithm
- text data
- manifold learning
- multi dimensional
- knn
- neural network