Branching and Circular Features in High Dimensional Data.
Bei WangBrian SummaValerio PascucciMikael Vejdemo-JohanssonPublished in: IEEE Trans. Vis. Comput. Graph. (2011)
Keyphrases
- high dimensional data
- high dimensionality
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- subspace clustering
- similarity search
- data sets
- feature space
- manifold learning
- neural network
- clustering high dimensional data
- input space
- data analysis
- original data
- data points
- high dimensions
- high dimensional feature spaces
- dimension reduction
- subspace learning
- missing values
- nonlinear dimensionality reduction
- data distribution
- image processing
- feature extraction
- high dimensional spaces
- text data
- high dimensional data sets
- multi dimensional
- input data