Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data.
Yunhai WangJingting LiFeiping NieHolger TheiselMinglun GongDirk J. LehmannPublished in: Comput. Graph. Forum (2017)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- high dimensionality
- variable weighting
- original data
- high dimensions
- dimension reduction
- similarity search
- input space
- linear discriminant analysis
- data analysis
- clustering high dimensional data
- subspace clusters
- high dimensional datasets
- high dimensional spaces
- text data
- clustering algorithm
- nonlinear dimensionality reduction
- lower dimensional
- manifold learning
- sparse representation
- clustering method
- feature extraction
- high dimensional data sets
- subspace learning
- unsupervised learning
- training data
- cluster analysis
- small sample size
- input data