Knowledge Discovery from Complex High Dimensional Data.
Sangkyun LeeAndreas HolzingerPublished in: Solving Large Scale Learning Tasks (2016)
Keyphrases
- high dimensional data
- knowledge discovery
- complex data
- low dimensional
- dimensionality reduction
- data analysis
- nearest neighbor
- high dimensional
- high dimensions
- high dimensionality
- subspace clustering
- data sets
- similarity search
- data distribution
- data points
- manifold learning
- linear discriminant analysis
- dimension reduction
- clustering high dimensional data
- nonlinear dimensionality reduction
- original data
- input space
- pattern recognition
- databases
- variable selection
- data mining
- sparse representation
- high dimensional datasets
- high dimensional data sets
- lower dimensional
- dimensional data
- high dimensional spaces
- small sample size
- variable weighting
- outlier detection
- multi dimensional
- computer vision