Robust clustering in high dimensional data using statistical depths.
Yuanyuan DingXin DangHanxiang PengDawn WilkinsPublished in: BMC Bioinform. (2007)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- high dimensionality
- low dimensional
- nearest neighbor
- subspace clustering
- data points
- data sets
- high dimensions
- high dimensional datasets
- original data
- data distribution
- clustering high dimensional data
- data analysis
- dimension reduction
- low rank
- similarity search
- high dimensional data sets
- input space
- manifold learning
- linear discriminant analysis
- sparse representation
- high dimensional feature spaces
- clustering algorithm
- nonlinear dimensionality reduction
- high dimensional spaces
- feature space
- text data
- gene expression data
- knn
- lower dimensional
- dimensional data
- pattern recognition
- image data
- clustering method