Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE.
Caio FlexaWalisson Cardoso GomesIgor MoreiraRonnie AlvesClaudomiro SalesPublished in: Expert Syst. Appl. (2021)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- data points
- high dimensionality
- data analysis
- subspace clustering
- data sets
- high dimensions
- original data
- dimension reduction
- input space
- similarity search
- clustering high dimensional data
- manifold learning
- lower dimensional
- high dimensional datasets
- data distribution
- linear discriminant analysis
- high dimensional spaces
- dimensional data
- small sample size
- high dimensional data sets
- text data
- sparse representation
- real world
- variable selection
- data mining
- locally linear embedding
- database
- multi dimensional
- variable weighting
- nonlinear dimensionality reduction
- data structure
- input data