RaCoCl: Robust rank correlation based clustering - An exploratory study for high-dimensional data.
Martin KroneFrank KlawonnBalasubramaniam JayaramPublished in: FUZZ-IEEE (2013)
Keyphrases
- high dimensional data
- subspace clustering
- high dimensionality
- nearest neighbor
- dimensionality reduction
- low dimensional
- data points
- high dimensions
- high dimensional
- similarity search
- high dimensional datasets
- clustering high dimensional data
- data sets
- data analysis
- high dimensional data sets
- dimension reduction
- high dimensional spaces
- sparse representation
- original data
- data distribution
- input space
- low rank
- manifold learning
- text data
- dimensional data
- nonlinear dimensionality reduction
- small sample size
- high dimensional feature spaces
- clustering algorithm
- lower dimensional
- linear discriminant analysis
- clustering method
- knn
- k means
- input data
- similarity measure
- high dimensional data analysis