One-step spectral rotation clustering for imbalanced high-dimensional data.
Guoqiu WenXianxian LiYonghua ZhuLinjun ChenQimin LuoMalong TanPublished in: Inf. Process. Manag. (2021)
Keyphrases
- high dimensional data
- high dimensionality
- data points
- nearest neighbor
- dimensionality reduction
- high dimensional
- subspace clustering
- low dimensional
- high dimensions
- original data
- high dimensional data sets
- clustering high dimensional data
- data analysis
- data sets
- similarity search
- data distribution
- dimension reduction
- sparse representation
- high dimensional datasets
- nonlinear dimensionality reduction
- input space
- linear discriminant analysis
- dimensional data
- manifold learning
- clustering algorithm
- decision trees
- computer vision
- lower dimensional
- input data
- high dimensional spaces
- high dimensional feature spaces
- high dimensional data analysis
- nearest neighbor search
- text data
- data clustering
- feature selection
- machine learning