Colored Mosaic Matrix: Visualization Technique for High-Dimensional Data.
Hiroaki KobayashiKazuo MisueJiro TanakaPublished in: IV (2013)
Keyphrases
- high dimensional data
- low rank
- data analysis
- nearest neighbor
- dimensionality reduction
- high dimensionality
- high dimensional
- low dimensional
- high dimensions
- subspace clustering
- data sets
- data points
- input space
- missing values
- data distribution
- dimensional data
- similarity search
- lower dimensional
- dimension reduction
- input image
- original data
- locally linear embedding
- linear discriminant analysis
- kernel matrix
- pattern recognition
- input data
- nonlinear dimensionality reduction
- database
- clustering high dimensional data
- manifold learning
- sparse representation
- singular value decomposition
- subspace learning
- covariance matrix
- high dimensional spaces
- high dimensional datasets
- clustering method
- computer vision
- learning algorithm