Ancient Maya Writings as High-Dimensional Data: a Visualization Approach.
Gulcan CanJean-Marc OdobezCarlos Pallan GayolDaniel Gatica-PerezPublished in: DH (2016)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- low dimensional
- subspace clustering
- high dimensions
- similarity search
- high dimensional
- high dimensionality
- data sets
- input space
- linear discriminant analysis
- data points
- variable selection
- original data
- dimension reduction
- complex data
- sparse representation
- manifold learning
- data distribution
- nonlinear dimensionality reduction
- text data
- pattern recognition
- dimensional data
- knowledge discovery
- small sample size
- feature space
- subspace learning
- high dimensional datasets
- clustering high dimensional data
- lower dimensional
- input data
- principal component analysis
- decision trees
- real world
- clustering method
- locally linear embedding
- face recognition
- learning algorithm
- high dimensional data sets