An Improved Algorithm Based on Fast Search and Find of Density Peak Clustering for High-Dimensional Data.
Hui DuYiyang NiZhihe WangPublished in: Wirel. Commun. Mob. Comput. (2021)
Keyphrases
- high dimensional data
- high dimensionality
- high dimensional
- data points
- subspace clustering
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensions
- high dimensional datasets
- data analysis
- clustering high dimensional data
- dimension reduction
- data sets
- manifold learning
- original data
- similarity search
- high dimensional data sets
- input space
- nearest neighbor search
- linear discriminant analysis
- data distribution
- input data
- k means
- dimensional data
- high dimensional spaces
- database
- clustering method
- text data
- arbitrary shape
- pattern recognition
- feature extraction
- nonlinear dimensionality reduction
- small sample size
- real world
- neural network
- high dimensional data analysis