A Three-Way Decision Clustering Approach for High Dimensional Data.
Hong YuHaibo ZhangPublished in: IJCRS (2016)
Keyphrases
- high dimensional data
- high dimensionality
- data points
- dimensionality reduction
- nearest neighbor
- subspace clustering
- data sets
- low dimensional
- high dimensional
- clustering high dimensional data
- data analysis
- high dimensional data sets
- high dimensions
- high dimensional datasets
- similarity search
- original data
- dimension reduction
- input space
- manifold learning
- data distribution
- variable weighting
- high dimensional spaces
- linear discriminant analysis
- sparse representation
- k means
- gene expression data
- clustering method
- dimensional data
- nonlinear dimensionality reduction
- small sample size
- clustering algorithm
- text data
- input data
- lower dimensional
- input image
- pairwise
- feature space
- high dimensional feature spaces
- pattern recognition