Adaptive Clustering for Outlier Identification in High-Dimensional Data.
Srikanth ThudumuPhilip BranchJiong JinJugdutt Jack SinghPublished in: ICA3PP (2) (2019)
Keyphrases
- high dimensional data
- high dimensionality
- subspace clustering
- nearest neighbor
- data points
- high dimensional datasets
- dimensionality reduction
- low dimensional
- high dimensional
- clustering high dimensional data
- outlier detection
- data analysis
- high dimensional data sets
- data sets
- original data
- similarity search
- high dimensions
- sparse representation
- input space
- dimension reduction
- high dimensional spaces
- nonlinear dimensionality reduction
- data distribution
- lower dimensional
- dimensional data
- manifold learning
- small sample size
- linear discriminant analysis
- clustering method
- high dimensional feature spaces
- high dimensional data analysis
- gene expression data
- subspace learning
- input data
- pairwise
- pattern recognition