Visualization for High-Dimensional Data: VisHD.
Cheng-Chih YangCheng-Chieh ChiangYi-Ping HungGreg C. LeePublished in: IV (2005)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- high dimensional
- high dimensions
- data sets
- dimension reduction
- data points
- complex data
- manifold learning
- similarity search
- data distribution
- original data
- subspace clustering
- input space
- clustering high dimensional data
- sparse representation
- text data
- lower dimensional
- dimensional data
- high dimensional spaces
- nonlinear dimensionality reduction
- image processing
- variable selection
- linear discriminant analysis
- clustering method
- subspace learning
- feature extraction
- small sample size
- multi dimensional
- query processing
- training set
- decision trees