Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data.
Elizabeth P. ChouFushing HsiehJohn CapitanioPublished in: ICMLA (1) (2013)
Keyphrases
- high dimensional data
- data points
- original data
- data sets
- data analysis
- high dimensional
- data distribution
- dimensionality reduction
- high dimensions
- complex data
- nearest neighbor
- missing values
- high dimensionality
- low dimensional
- input space
- dimensional data
- raw data
- manifold learning
- input data
- training data
- subspace clustering
- similarity search
- dimension reduction
- data structure
- small sample size
- underlying manifold